\r\n\t(i) Quantum dots of very high-quality optical applications, Quantum dot light-emitting diodes (QD-LED) and ‘QD-White LED’, Quantum dot photodetectors (QDPs), Quantum dot solar cells (Photovoltaics).
\r\n
\r\n\t(ii) Quantum Computing (quantum bits or ‘qubits’), (vii) The Future of Quantum Dots (broad range of real-time applications, magnetic quantum dots & graphene quantum dots), Superconducting Loop, Quantum Entanglement, Quantum Fingerprints.
\r\n
\r\n\t(iii) Biomedical and Environmental Applications (to study intracellular processes, tumor targeting, in vivo observation of cell trafficking, diagnostics and cellular imaging at high resolutions), Bioconjugation, Cell Imaging, Photoelectrochemical Immunosensor, Membranes and Bacterial Cells, Resonance Energy-Transfer Processes, Evaluation of Drinking Water Quality, Water and Wastewater Treatment, Pollutant Control.
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Rada",authors:[{id:"114650",title:"Dr",name:"Eugen",middleName:null,surname:"Culea",fullName:"Eugen Culea",slug:"eugen-culea"},{id:"114653",title:"Dr.",name:"Simona",middleName:null,surname:"Rada",fullName:"Simona Rada",slug:"simona-rada"}]},{id:"36169",title:"Water in Rocks and Minerals - Species, Distributions, and Temperature Dependences",slug:"water-in-rocks-and-minerals-species-distributions-and-temperature-dependences",signatures:"Jun-ichi Fukuda",authors:[{id:"105384",title:"Dr.",name:"Jun-Ichi",middleName:null,surname:"Fukuda",fullName:"Jun-Ichi Fukuda",slug:"jun-ichi-fukuda"}]},{id:"36170",title:"Attenuated Total Reflection - Infrared Spectroscopy Applied to the Study of Mineral - Aqueous Electrolyte Solution Interfaces: A General Overview and a Case Study",slug:"attenuated-total-reflection-infrared-spectroscopy-applied-to-the-study-of-mineral-aqueous-el",signatures:"Grégory Lefèvre, Tajana Preočanin and Johannes Lützenkirchen",authors:[{id:"108416",title:"Dr.",name:"Johannes",middleName:null,surname:"Lützenkirchen",fullName:"Johannes Lützenkirchen",slug:"johannes-lutzenkirchen"},{id:"111675",title:"Dr.",name:"Gregory",middleName:null,surname:"Lefevre",fullName:"Gregory Lefevre",slug:"gregory-lefevre"},{id:"111676",title:"Prof.",name:"Tajana",middleName:null,surname:"Preocanin",fullName:"Tajana Preocanin",slug:"tajana-preocanin"}]},{id:"36171",title:"Research of Calcium Phosphates Using Fourier Transform Infrared Spectroscopy",slug:"research-of-calcium-phosphates-using-fourier-transformation-infrared-spectroscopy",signatures:"Liga Berzina-Cimdina and Natalija Borodajenko",authors:[{id:"110522",title:"Prof.",name:"Liga",middleName:null,surname:"Berzina-Cimdina",fullName:"Liga Berzina-Cimdina",slug:"liga-berzina-cimdina"},{id:"112181",title:"MSc.",name:"Natalija",middleName:null,surname:"Borodajenko",fullName:"Natalija Borodajenko",slug:"natalija-borodajenko"}]},{id:"36172",title:"FTIR Spectroscopy of Adsorbed Probe Molecules for Analyzing the Surface Properties of Supported Pt (Pd) Catalysts",slug:"ftir-spectroscopy-of-adsorbed-probe-molecules-for-analyzing-the-surface-properties-of-supported-pt-p",signatures:"Olga B. 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1. Introduction
High spatial resolution remotely sensed imagery helps to obtain quality and detailed information about the earth’s surface features in conjunction with their geographical associations. The internal changeability within the identical land-use land-cover units augments with the rise of resolution. The augmented changeability diminishes the statistical distinguishability of land-use/land-cover classes in the spectral data space. This reduced distinguishability tends to decrease the accuracies of pixel-based clustering algorithms such as Fuzzy C Means [1], minimum distance classifiers [2] and K-Means [3]. These pixel-based clustering techniques assign a pixel to a region according to the similarities of spectral signature. It considers only one pixel at a time [4]. Spectral signatures are the specific combination of emitted, reflected or absorbed electromagnetic (EM) radiation at varying wavelengths which can uniquely identify an object [4].
Compared to IRS-1A/1B sensors, the spectral resolution of high spatial resolution images is normally relatively poor. Spectral resolution describes a sensor’s ability to identify fine intervals of wavelength. The better the spectral resolution, the finer the channel or band width. Therefore, between spatial and spectral resolution, there is a trade-off. It is mainly true for panchromatic (PAN) images of high spatial resolution, namely CARTOSAT-II 1m and IKONOS 1m. There is a need to consider the spatial relationships between pixel values, also known as the ‘texture’ of the scene objects to classify high-resolution (HR) images owing to the wide difference in the spatial structure in these images. Consequently, multiple texture-based clustering technique namely GLCM [5, 6, 7, 8], Markov random field (MRF) model [5], Gray scale rotation invariant [9] were evolved for clustering remote sensing images having high spatial resolution. Nevertheless, above mentioned methods are appropriate in textured area of HR images. A region is called textured; where the intensity dissimilarity within adjacent pixels is substantial. A region is said to be non-textured, where the intensity dissimilarity among adjacent pixels is insignificant [10, 11]. But texture-based classification techniques failed in non-textured region of high spatial resolution image as much variation is not found in the spatial pattern of those regions of the image [12]. Thus, we can infer from earlier studies that classification of high spatial resolution imageries either by pixel or texture-based algorithm may not yield desired results.
Some more techniques namely watershed approach [13, 14], region-growing approach [4, 15], mean shift approach [16, 17], region merging approach [18] etc. are in use for clustering high spatial resolution remote sensing images. Application of these approaches for clustering of images either leads to under-segmentation or over-segmentation [19, 20]. Structural image indexing approach [21], semi-supervised feature learning approach [22] and multi-scale manner using SVM approach [23] are also found fairly suitable in clustering high resolution images. The imagery of higher resolution includes textured and non-textured areas. Hence, pixel or texture-based algorithm for clustering of high-resolution imagery does not produce expected results. This type of high-resolution imagery clustering research is in the trend. Multi-circular local binary pattern and variance-based method [10] were used separately to cluster high resolution image having textured and non-textured regions. The Multi circular local binary pattern operator has been used here for measuring the spatial structure of the image. But, disadvantage in this strategy is that multi-circular local binary pattern operator is susceptible to noise as it exactly sees the value of the moving window’s central pixel as a limit for computing the spatial structure around the central pixel.
In last one decade the Hölder exponent (HE) has been used for calculating spatial structure of the images [24, 25, 26]. It is also being used for clustering high-resolution images [12]. HE gives an evidence of the spatial structure of the image and is not much influenced by the noise. In addition, spatial structure, contrast of the local image holds considerable property for calculating the texture around the pixel. In this research, high-resolution picture textured and non-textured region is originally segmented using HE and VAR-based method and subsequently separately clustered and non-textured areas. VAR is used to calculate the contrast around the pixel. The suggested method is applied with a 1 m spatial resolution on high resolution IKONOS PAN images.
2. Methods
The suggested high-resolution image ‘P’ clustering technique has three main steps: (i) image transformation, (ii) segmentation and extraction, and (iii) clustering. Initially, every pixel of the image is converted into a degree of texture or non-texture around the pixel. In the second step, using segmented image mask, the transformed image is segmented and non-textured and textured regions are extracted from the initial image. Finally, the two areas obtained are separately clustered.
2.1 Transformation of image
The Hölder Exponent (HE) and VAR are jointly used to convert the image for computing the texture. The HE calculates each pixel of P’s spatial structure. Besides spatial structure, local image contrast also grasps important property for computing the texture around the pixel. In this research, therefore, VAR is used to calculate the contrast around the pixel.
2.1.1 Hölder exponent
Hölder exponent has been used for investigating the texture in high-resolution images [12]. It measures the irregularity in the vicinity. Supremacy of applying Hölder Exponent in HR images are that (i) it can be used as an instrument to calculate each pixel of the image’s spatial structure, (ii) no previous data on the pixel intensity is required and (iii) is not very sensitive to noise [12].
Definition of HE [27]: Let μ be a measure on a set Ω as well as for all x Є Ω, э α(x), such that μ (Br(x)) ∼ rα, for small r. Here Br(x) is circle (2D) of radius i centered on x. Then α (x) is called the HE on x.
A sequence of 15 values of radius r (i.e. 1, √2, √5, 3, √13, 3√2, 5, √29, 2√10, 3√5, 7, √61, 6√2, √85, 7√2) centered on x are used as a scale parameter for calculating HE value around each pixel x in the image [12] and the total number (N) of intersected pixels by the perimeter of series of circles of radius r is considered as a scale parameter for computing VAR value around x [12]. N is computed using Eq. (1).
N=∑r=1tmrE1
where t is the total number of identified circles, mr is the number of intersected pixels on the perimeter of the radius r circle.
2.1.2 VAR (σ2) for contrast measurement around each pixel of the image
To get the contrast value of (x, y), the neighbor’s σ2 of each pixel (x, y) is calculated over the entire image. Using Eq. (2), the σ2 (x, y) is realized
σ2xy=∑r=1t∑j=1mrarj−μ2NE2
where arj is the intensity value of pixel (r,j),
μ=∑r=1t∑j=1mrarjN
Thus obtained α(x,y) and σ2 (x,y) for each P(x,y). Afterward, these values are used in Eq. (3) to obtain the corresponding pixel value (x,y) in the transformed image T. Each pixel (x,y) of T signifies the degree of texture around that pixel.
Txy=αxy+σ2xy2E3
2.2 Image segmentation and extraction
The image ‘T’ is segmented into textured and non-textured regions based on a threshold value ‘δ’. The pixel value in T below the ‘δ’ is considered to be a non-textured region, whereas greater than or equal to ‘δ’ is considered to be the textured region in the segmented image. Pixels are labeled as zero in non-textured areas, whereas pixels are marked as one in textured areas in the segmented image mask and depicted as follows:
Γxy=1,Txy≥δ0,Txy<δE4
where T(x,y) and Γ(x,y) represents the pixel value in (x,y) position of the two dimensional transformed image and segmented image respectively and δ represents the threshold value. The δ is calculated by using Eq. (5).
δ=Tmin+Tmax−TminKE5
where Tmin and Tmax represents minimum and maximum pixel gray value in T respectively and K is user defined value.
IKONOS PAN sensor image of size 256 × 256 pixels (shown in Figure 1a) is used to achieve the optimum K. The suggested clustering method is also implemented for distinct K values on this image.
Figure 1.
(a) IKONOS image showing vegetation, built-up area, fallow and water body categories, (b) classified image obtained by applying “HE-VAR and PAN” based method on Figure 1a, (c) classified image obtained by applying “MCLBP and VAR” based method on Figure 1a, (d) classified image obtained by applying “proposed classification method” on Figure 1a, (e) IKONOS image showing fallow, water bodies, vegetation and built-up area categories, (f) classified image obtained by applying “HE-VAR and PAN” based method on Figure 1e, (g) classified images obtained by applying “MCLBP and VAR” based method on Figure 1e, (h) Classified images obtained by applying “proposed classification method” on Figure 1e.
The segmented image is subsequently used to obtain the textured and non-textured region from the initial image P. This process’s mathematical representation is shown as follows:
R1xy=Pxy,Γxy=00,Γxy≠0E6
R2xy=Pxy,Γxy=10,Γxy≠1E7
where P, Γ, R1 and R2 indicates original image, segmented image, extracted non-textured region from original image P and extracted textured region from original image P respectively.
2.3 Clustering
Initially, a threshold is used to segment the transformed image into textured and non-textured region. Afterward, the original image is extracted into textured and non-textured regions using the segmented image mask and clustered independently. The extracted textured region (R2) is clustered by means of ISODATA clustering algorithm [28] considering HE, VAR and intensity values of individual pixel of textured area. The clustering algorithm of ISODATA is less computational, easy and non-supervisory. Whereas the non-textured area (R1) of the image is categorized using the clustering algorithm of ISODATA. In the event of non-textured region, the individual pixel HE and VAR value is not regarded for classification as there is no important variation in texture between classes. The classified outputs of the non-textured and textured region are subsequently produced separately and mixed together to obtain the final classified image.
This research uses “HE-VAR and PAN” and “MCLBP and VAR” based clustering technique to show the power of the suggested clustering technique. The technique based on “HE-VAR and PAN” clusters the entire image using the HE, VAR and intensity of each pixel of the IKONOS PAN image. The suggested technique of clustering is then contrasted with the outcomes of the clustering method based on “HE-VAR and PAN” and “MCLBP and VAR” to demonstrate the strength of the suggested technique of clustering.
3. Results and discussion
The projected clustering method imagines threshold δ to get the segmented image mask from the transformed image. The threshold is computed using a constant ‘K’. In this study, proposed clustering procedure is implemented on IKONOS PAN image with spatial resolution 1 m for ‘K’ values between 3 and 7 and subsequently, classification rate is measured for these ‘K’ values using the ground truth data. The classification accuracy with different ‘K’ is shown in Figure 2. The ‘K’ affects the accuracy in classifying High spatial resolution images considerably as shown in Figure 2. For computing texture, a suitable choice of ‘K’ is important. In this study, superlative performance in high-resolution image classification was accomplished with K = 5. The optimum K is discovered based on Figure 1a and is also implemented in the classification of Figure 1e in addition to other images and found classification accuracy is more than 88%. Thus, from the present study, we can infer that the same K value is suitable for most images.
Figure 2.
Classification accuracy as a function of K.
The Proposed clustering method, “MCLBP and VAR” based method and “HE-VAR and PAN” based method were applied on two different 1 m PAN (IKONOS) images (size 256 × 256 pixels) covering (i) vegetation, (ii) built-up area, (iii) water bodies, and (iv) fallow (shown in Figure 1a,e). Texture is observable in in Figure 1a,e. The results of proposed method are then compared with the results obtained from the analysis based on “HE-VAR and PAN” and “MCLBP and VAR” respectively.
Figure 1f–h shows the classification outcomes of the methods “HE-VAR and PAN,” “MCLBP and VAR” and “Proposed classification” after proceeding to the second IKONOS image respectively. Figure 1b–d shows the classification outcomes of the methods “HE-VAR and PAN,” “MCLBP and VAR” and “Proposed classification” after proceeding to the first IKONOS image respectively. Classified images recognize varied features in Figure 1b–d,f–h. From the results, it is evident that the method based on “MCLBP and VAR” gives less heterogeneous segments than the method based on “HE-VAR and PAN,” while the method based on “Proposed classification method” provides more homogeneous segments with distinct classes than the method based on “MCLBP and VAR.”
The ground truth data is collected using GPS equipment for the class vegetation, built-up area, fallow and water body of sample size of 656, 519, 577 and 462 square meters respectively. Afterward, ArcGIS software is used to transfer the ground truth data into vector data. Subsequently, by overlaying the ground truth information distinctly on the results acquired from both IKONOS images (Figure 1a,e) adopting methods such as “HE-VAR and PAN,” “MCLBP and VAR” and “Proposed clustering,” the classification accuracies for each strategy are shown by confusion matrix. The confusion matrices (Table 1) calculated for Figure 1b–d showed that the precision of classification of vegetation, built-up area, fallow and water bodies is (73, 69, 59 and 87% respectively) based on the ‘HE-VAR and PAN’ technique and (79, 71, 68 and 89% respectively) based on the ‘MCLBP and VAR ‘technique, whereas (91, 86, 85 and 94% respectively) by the “Proposed clustering” method. Table 2 demonstrates the confusion matrices calculated for Figure 1f–h showed that the precision of classification of vegetation, built-up area, fallow and water bodies is (73, 74, 66 and 88% respectively) based on the ‘HE-VAR and PAN ‘technique and (78, 76, 68 and 89% respectively) based on the ‘MCLBP and VAR ‘technique whereas (90, 87, 86 and 93% respectively) by the “Proposed clustering” method.
Classes derived from satellites
Classification method
Grand observed class
Vegetation
Built-up area
Fallow
Water body
Row total
Classification accuracy (%)
C (%)
O (%)
HE-VAR and PAN
Vegetation
251
35
12
7
305
72.75
27.24
15.65
Built-up area
18
163
14
5
200
69.07
30.93
15.68
Fallow
53
23
144
14
234
59.26
40.74
37.04
Water body
23
15
73
177
288
87.19
12.81
54.67
Column total
345
236
243
203
1027
MCLBP and VAR
Vegetation
272
31
11
4
332
78.84
18.26
13.33
Built-up area
17
168
7
3
205
71.25
28.81
11.41
Fallow
43
21
166
15
223
68.33
31.69
32.51
Water body
13
16
59
181
258
89.28
10.83
43.35
Column total
345
236
243
203
1027
Proposed method
Vegetation
313
17
7
3
340
90.85
9.27
7.82
Built-up area
7
204
8
2
221
86.28
13.56
7.20
Fallow
19
7
206
7
239
84.77
15.23
13.58
Water body
6
8
22
191
227
94.11
5.91
17.73
Column total
345
236
243
203
1027
Table 1.
The confusion matrices showing the classification accuracy obtained by applying “HE-VAR and PAN”, “MCLBP and VAR” and “Proposed” methods separately on IKONOS image shown in Figure 1a.
C: Commission error, O: Omission error.
Classes derived from satellites
Classification method
Grand observed class
Vegetation
Built-up area
Fallow
Water body
Row total
Classification accuracy (%)
C (%)
O (%)
HE-VAR and PAN
Vegetation
228
15
43
16
302
73.3
26.68
23.79
Built-up area
32
209
14
5
260
73.7
26.14
18.02
Fallow
27
27
221
11
286
66.3
33.83
19.46
Water body
24
32
56
227
339
87.6
12.35
43.24
Column total
311
283
334
259
1187
MCLBP and VAR
Vegetation
241
13
38
9
301
77.6
22.51
20.58
Built-up area
29
215
13
7
264
75.83
24.02
17.31
Fallow
26
26
228
11
291
68.36
31.74
18.86
Water body
15
29
55
232
331
89.4
10.42
38.22
Column total
311
283
334
259
1187
Proposed method
Vegetation
281
7
14
6
308
90.4
9.64
8.68
Built-up area
3
244
9
5
261
86.7
13.78
6.0
Fallow
15
15
287
7
324
85.8
14.07
11.07
Water body
12
17
24
241
294
93.2
6.94
20.46
Column total
311
283
334
259
1187
Table 2.
The confusion matrices showing the classification accuracy obtained by applying “HE-VAR and PAN”, “MCLBP and VAR” and “Proposed” methods separately on IKONOS image shown in Figure 1e.
C: Commission error, O: Omission error.
The categorized result for Figure 1a,e shows that the “HE-VAR and PAN” method under segment as a result (i) fallow assorted with water bodies shown in Figure 1b,f, (ii) built-up region assorted with fallow and vegetation shown in Figure 1f, (iii) vegetation assorted with water bodies shown in Figure 1b,f, (iv) fallow assorted with built-up region shown in Figure 1b. This incoherence decreases vegetation, fallow, water bodies and built-up area classification precision as shown in Tables 1 and 2. The technique based on “MCLBP and VAR” somehow overcomes these inconsistencies. It is discovered that, as shown in Figure 1c,g, the superposition of fallow, water body, vegetation region becomes less. In addition, decreased inconsistencies improve the accuracy of the classification of fallow, water body and vegetation regions (see Tables 1 and 2).
“HE-VAR and PAN” based method classifies water bodies and fallow areas as a single class (Figure 1b,f) since the texture patterns of these two areas does not show much difference in high resolution imageries as shown in Figure 1a,e. “MCLBP and VAR” based technique demonstrates improvement in classifying the fallow areas and water bodies which is observable in Figure 1g. But this method could not extract non-textured region appropriately form Figure 1a since MCLBP is sensitive to noise. Therefore “MCLBP and VAR” based method could not discriminate appropriately fallow areas and water bodies in Figure 1a as visible in Figure 1c. HE is not as much of sensitive to noise therefore the proposed technique partitions the image into textured and non-textured regions noticeably which in turn helps in classifying the fallow and water bodies as shown in Figure 1d.
The proposed clustering method is applied further on a 1 m PAN (IKONOS) image (Figure 3a) of (i) urban woodland, (ii) building, (iii) water bodies, and (iv) fallow to show the robustness and validity of the method in classifying land use area. The method satisfactorily discriminate urban woodland, building, fallow and water bodies as shown in Figure 3b. The algorithm also implemented on two extra 1 m PAN (IKONOS) images: (i) Figure 4a of fallow, vegetation, built-up area and bare land and (ii) Figure 4c of water, vegetation, fallow and built-up area. The findings (Figure 4b,d) show that vegetation, fallow, built-up region, bare soil and water bodies are satisfactorily discriminated against by the algorithm.
Figure 3.
(a) IKONOS image showing urban woodland, building, water body and fallow categories, (b) classified image obtained by applying “proposed classification method” on Figure 3a.
Figure 4.
(a) IKONOS image showing fallow, built-up area, vegetation and bare soil categories, (b) classified image obtained by applying “proposed classification method” on Figure 4a, (c) IKONOS image showing vegetation, fallow, built-up area and water bodies categories, (d) classified image obtained by applying “proposed classification method” on Figure 4c.
4. Conclusion
In the present study, the spatial structure of local image texture is computed using HE. The contrast around the pixel is measured using VAR. Afterward, the image is transformed using HE and VAR together for measuring the texture. A threshold δ is used to extract textured and non-textured region from the image. The classification algorithm ISODATA is used to classify the textured region taking into account HE, VAR and intensity values of the textured area’s individual pixels. Whereas ISODATA clustering algorithm classifies the extracted non-textured region of the image. The HE and VAR value of individual pixels is not regarded for classification in the event of non-textured region. From the research outcomes, it is discovered that the suggested technique is helpful to extract earth surface characteristics from complicated remote sensing images that contain both textured and non-textured areas. Moreover, it can be considered as an intuitively appealing and unsupervised clustering algorithm for extracting features from remotely sensed images. As a result, the method is potentially useful to extract earth surface features by clustering high spatial resolution panchromatic images more efficiently.
Acknowledgments
The author sincerely thanks the Director, NRSC, Hyderabad, India and CGM, RCs, NRSC, Hyderabad, India for their support. The author is also grateful to the former GM, RRSC-East for support.
\n',keywords:"remote sensing image, clustering, classification, land use, land cover, features, extraction",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/69795.pdf",chapterXML:"https://mts.intechopen.com/source/xml/69795.xml",downloadPdfUrl:"/chapter/pdf-download/69795",previewPdfUrl:"/chapter/pdf-preview/69795",totalDownloads:678,totalViews:0,totalCrossrefCites:0,dateSubmitted:"June 3rd 2019",dateReviewed:"August 13th 2019",datePrePublished:"October 29th 2019",datePublished:"November 11th 2020",dateFinished:"October 29th 2019",readingETA:"0",abstract:"Image processing is growing fast and persistently. The idea of remotely sensed image clustering is to categorize the image into meaningful land use land cover classes with respect to a particular application. Image clustering is a technique to group an image into units or categories that are homogeneous with respect to one or more characteristics. There are many algorithms and techniques that have been developed to solve image clustering problems, though, none of the method is a general solution. This chapter will highlight the various clustering techniques that bring together the current development on clustering and explores the potentiality of those techniques in extracting earth surface features information from high spatial resolution remotely sensed imageries. It also will provide an insight about the existing mathematical methods and its application to image clustering. Special emphasis will be given on Hölder exponent (HE) and Variance (VAR). HE and VAR are well-established techniques for texture analysis. This chapter will highlight about the Hölder exponent and variance-based clustering method for classifying land use/land cover in high spatial resolution remotely sensed images.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/69795",risUrl:"/chapter/ris/69795",signatures:"Debasish Chakraborty",book:{id:"9381",type:"book",title:"Geographic Information Systems in Geospatial Intelligence",subtitle:null,fullTitle:"Geographic Information Systems in Geospatial Intelligence",slug:"geographic-information-systems-in-geospatial-intelligence",publishedDate:"November 11th 2020",bookSignature:"Rustam B. Rustamov",coverURL:"https://cdn.intechopen.com/books/images_new/9381.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83880-505-0",printIsbn:"978-1-83880-504-3",pdfIsbn:"978-1-83969-129-4",isAvailableForWebshopOrdering:!0,editors:[{id:"59174",title:"Dr.",name:"Rustam B.",middleName:null,surname:"Rustamov",slug:"rustam-b.-rustamov",fullName:"Rustam B. Rustamov"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"307075",title:"Dr.",name:"Debasish",middleName:null,surname:"Chakraborty",fullName:"Debasish Chakraborty",slug:"debasish-chakraborty",email:"deba.isro@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Methods",level:"1"},{id:"sec_2_2",title:"2.1 Transformation of image",level:"2"},{id:"sec_2_3",title:"2.1.1 Hölder exponent",level:"3"},{id:"sec_3_3",title:"2.1.2 VAR (σ2) for contrast measurement around each pixel of the image",level:"3"},{id:"sec_5_2",title:"2.2 Image segmentation and extraction",level:"2"},{id:"sec_6_2",title:"2.3 Clustering",level:"2"},{id:"sec_8",title:"3. Results and discussion",level:"1"},{id:"sec_9",title:"4. Conclusion",level:"1"},{id:"sec_10",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Bezdek JC, Ehrlich R, Full W. FCM: The Fuzzy C-Means clustering algorithm. Computers and Geosciences. 1984;10:191-203'},{id:"B2",body:'Richards JA. Remote Sensing Digital Image Analysis: An Introduction. Berlin, Heidelberg: Springer-Verlag; 1995. pp. 265-290'},{id:"B3",body:'Hartigan JA, Wong MA. A K-means clustering algorithm. Applied Statistics. 1979;28(1):100-108'},{id:"B4",body:'Chakraborty D, Sen GK, Hazra S. Image Segmentation Techniques. Germany: LAP LAMBERT Academic Publishing; 2012. pp. 1-128'},{id:"B5",body:'Clausi DA, Yue B. Texture segmentation comparison using grey level co-occurrence probabilities and Markov random fields. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04); 2004. Available from: http://ieeexplore.ieee.org/stamp/'},{id:"B6",body:'Haralick RM, Shanmugan K, Dinstein I. Textural features for image classification. 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Regional Remote Sensing Centre-East, National Remote Sensing Centre, ISRO, New Town, Kolkata, West Bengal, India
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As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 140,000 international scientists and researchers.
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The Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
\\n\\n
OAPF Publishing Options
\\n\\n
\\n\\t
1,400 GBP Chapter - Edited Volume
\\n\\t
850 GBP Chapter - Book Series Topic (Annual Volume)
\\n\\t
10,000 GBP Monograph - Long Form
\\n\\t
4,000 GBP Compacts Monograph - Short Form
\\n\\t
850 GBP Journal Article (Across Portfolio)
\\n
\\n\\n
During the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
\\n\\n
*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
\\n\\n
Services included are:
\\n\\n
\\n\\t
An online manuscript tracking system to facilitate your work
\\n\\t
Personal contact and support throughout the publishing process from your dedicated Author Service Manager
\\n\\t
Assurance that your manuscript meets the highest publishing standards
\\n\\t
English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
\\n\\t
XML Typesetting and pagination - web (PDF, HTML) and print files preparation
\\n\\t
Discoverability - electronic citation and linking via DOI
\\n\\t
Permanent and unrestricted online access to your work
\\n
\\n\\n
What isn't covered by the Open Access Publishing Fee?
\\n\\n
If your manuscript:
\\n\\n
\\n\\t
Exceeds the number of pages defined by the publishing guidelines, an additional fee per page may be required
\\n\\t
If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
\\n
\\n\\n
Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
\\n\\n
Open Access Funding
\\n\\n
To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at funders@intechopen.com for further details or assistance.
\\n\\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
\\n\\n
Added Value of Publishing with IntechOpen
\\n\\n
Choosing to publish with IntechOpen ensures the following benefits:
\\n\\n
\\n\\t
Indexing and listing across major repositories, see details ...
\\n\\t
Long-term archiving
\\n\\t
Visibility on the world's strongest OA platform
\\n\\t
Live Performance Metrics to track readership and the impact of your chapter
\\n\\t
Dissemination and Promotion
\\n
\\n\\n
Benefits of Publishing with IntechOpen
\\n\\n
\\n\\t
Proven world leader in Open Access book publishing with over 10 years experience
\\n\\t
+5,700 OA books published
\\n\\t
Most competitive prices in the market
\\n\\t
Fully compliant with OA funding requirements
\\n\\t
Optimized processes that assure your research is made available to the scientific community without delay
\\n\\t
Personal support during every step of the publication process
\\n\\t
+184,650 citations in Web of Science databases
\\n\\t
Currently strongest OA platform with over 175 million downloads
As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 140,000 international scientists and researchers.
\n\n
The Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
\n\n
OAPF Publishing Options
\n\n
\n\t
1,400 GBP Chapter - Edited Volume
\n\t
850 GBP Chapter - Book Series Topic (Annual Volume)
\n\t
10,000 GBP Monograph - Long Form
\n\t
4,000 GBP Compacts Monograph - Short Form
\n\t
850 GBP Journal Article (Across Portfolio)
\n
\n\n
During the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
\n\n
*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
\n\n
Services included are:
\n\n
\n\t
An online manuscript tracking system to facilitate your work
\n\t
Personal contact and support throughout the publishing process from your dedicated Author Service Manager
\n\t
Assurance that your manuscript meets the highest publishing standards
\n\t
English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
\n\t
XML Typesetting and pagination - web (PDF, HTML) and print files preparation
\n\t
Discoverability - electronic citation and linking via DOI
\n\t
Permanent and unrestricted online access to your work
\n
\n\n
What isn't covered by the Open Access Publishing Fee?
\n\n
If your manuscript:
\n\n
\n\t
Exceeds the number of pages defined by the publishing guidelines, an additional fee per page may be required
\n\t
If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
\n
\n\n
Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
\n\n
Open Access Funding
\n\n
To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at funders@intechopen.com for further details or assistance.
\n\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
\n\n
Added Value of Publishing with IntechOpen
\n\n
Choosing to publish with IntechOpen ensures the following benefits:
\n\n
\n\t
Indexing and listing across major repositories, see details ...
\n\t
Long-term archiving
\n\t
Visibility on the world's strongest OA platform
\n\t
Live Performance Metrics to track readership and the impact of your chapter
\n\t
Dissemination and Promotion
\n
\n\n
Benefits of Publishing with IntechOpen
\n\n
\n\t
Proven world leader in Open Access book publishing with over 10 years experience
\n\t
+5,700 OA books published
\n\t
Most competitive prices in the market
\n\t
Fully compliant with OA funding requirements
\n\t
Optimized processes that assure your research is made available to the scientific community without delay
\n\t
Personal support during every step of the publication process
\n\t
+184,650 citations in Web of Science databases
\n\t
Currently strongest OA platform with over 175 million downloads
\n
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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History",slug:"hydrovolcanic-vs-magmatic-processes-in-forming-maars-and-associated-pyroclasts-the-calatrava-spain-c",totalDownloads:2860,totalCrossrefCites:8,totalDimensionsCites:25,abstract:null,book:{id:"409",slug:"updates-in-volcanology-a-comprehensive-approach-to-volcanological-problems",title:"Updates in Volcanology",fullTitle:"Updates in Volcanology - A Comprehensive Approach to Volcanological Problems"},signatures:"F. Stoppa, G. Rosatelli, M. Schiazza and A. Tranquilli",authors:[{id:"57017",title:"Prof.",name:"Francesco",middleName:null,surname:"Stoppa",slug:"francesco-stoppa",fullName:"Francesco Stoppa"},{id:"62737",title:"Dr.",name:"Gianluigi",middleName:null,surname:"Rosatelli",slug:"gianluigi-rosatelli",fullName:"Gianluigi Rosatelli"},{id:"62738",title:"Mr",name:"Mariangela",middleName:null,surname:"Schiazza",slug:"mariangela-schiazza",fullName:"Mariangela Schiazza"},{id:"62739",title:"Mr",name:"Andrea",middleName:null,surname:"Tranquilli",slug:"andrea-tranquilli",fullName:"Andrea Tranquilli"}]},{id:"51948",doi:"10.5772/64129",title:"Fumarolic Minerals: An Overview of Active European Volcanoes",slug:"fumarolic-minerals-an-overview-of-active-european-volcanoes",totalDownloads:2269,totalCrossrefCites:8,totalDimensionsCites:24,abstract:"The fumarolic mineralogy of the Icelandic active volcanoes, the Tyrrhenian volcanic belt (Italy) and the Aegean active arc (Greece) is investigated, and literature data surveyed in order to define the characteristics of the European fumarolic systems. They show broad diversity of mineral associations, with Vesuvius and Vulcano being also among the world localities richest in mineral species. Volcanic systems, which show recession over a longer period, show fumarolic development from the high-temperature alkaline halide/sulphate, calcic sulphate or sulphidic parageneses, synchronous with or immediately following the eruptions, through medium-temperature ammonium minerals, metal chlorides, or fluoride associations to the late low-temperature paragenesis dominated by sulphur, gypsum, alunogen, and other hydrous sulphates. The situation can be different in the systems that are not recessing but show fluctuations in activity, illustrated by the example of Vulcano where the high-temperature association appears intermittently. A full survey of the mineral groups and species is given in respect to their importance and appearance in fumarolic associations.",book:{id:"5311",slug:"updates-in-volcanology-from-volcano-modelling-to-volcano-geology",title:"Updates in Volcanology",fullTitle:"Updates in Volcanology - From Volcano Modelling to Volcano Geology"},signatures:"Tonči Balić-Žunić, Anna Garavelli, Sveinn Peter Jakobsson, Kristjan\nJonasson, Athanasios Katerinopoulos, Konstantinos Kyriakopoulos\nand Pasquale Acquafredda",authors:[{id:"183593",title:"Dr.",name:"Tonci",middleName:null,surname:"Balic-Zunic",slug:"tonci-balic-zunic",fullName:"Tonci Balic-Zunic"},{id:"183700",title:"Prof.",name:"Anna",middleName:null,surname:"Garavelli",slug:"anna-garavelli",fullName:"Anna Garavelli"},{id:"183701",title:"Dr.",name:"Sveinn Peter",middleName:null,surname:"Jakobsson",slug:"sveinn-peter-jakobsson",fullName:"Sveinn Peter Jakobsson"},{id:"183702",title:"Prof.",name:"Athanasios",middleName:null,surname:"Katerinopoulos",slug:"athanasios-katerinopoulos",fullName:"Athanasios Katerinopoulos"},{id:"188833",title:"Dr.",name:"Kristjan",middleName:null,surname:"Jonasson",slug:"kristjan-jonasson",fullName:"Kristjan Jonasson"},{id:"188834",title:"Dr.",name:"Konstantinos",middleName:null,surname:"Kyriakopoulos",slug:"konstantinos-kyriakopoulos",fullName:"Konstantinos Kyriakopoulos"},{id:"188835",title:"Dr.",name:"Pasquale",middleName:null,surname:"Acquafredda",slug:"pasquale-acquafredda",fullName:"Pasquale Acquafredda"}]},{id:"51105",doi:"10.5772/63486",title:"How Polygenetic are Monogenetic Volcanoes: Case Studies of Some Complex Maar‐Diatreme Volcanoes",slug:"how-polygenetic-are-monogenetic-volcanoes-case-studies-of-some-complex-maar-diatreme-volcanoes",totalDownloads:1939,totalCrossrefCites:5,totalDimensionsCites:15,abstract:"The increasing number of field investigations and various controlled benchtop and large‐scale experiments have permitted the evaluation of a large number of processes involved in the formation of maar‐diatreme volcanoes, the second most common type of small‐volume subaerial volcanoes on Earth. A maar‐diatreme volcano is recognized by a volcanic crater that is cut into country rocks and surrounded by a low‐height ejecta rim composed of pyroclastic deposits of few meters to up to 200 m thick above the syn‐eruptive surface level. The craters vary from 0.1 km to up to 5 km wide and vary in depth from a few dozen meters to up to 300 m deep. Their irregular morphology reflects the simple or complex volcanic and cratering processes involved in their formation. The simplicity or complexity of the crater or the entire maar itself is usually observed in the stratigraphy of the surrounding ejecta rings. The latter are composed of sequences of successive alternating and contrastingly bedded phreatomagmatic‐derived dilute pyroclastic density currents (PDC) and fallout depositions, with occasional interbedded Strombolian‐derived spatter materials or scoria fall units, exemplifying the changes in the eruptive styles during the formation of the volcano. The entire stratigraphic sequence might be preserved as a single eruptive package (small or very thick) in which there is no stratigraphic gap or significant discordance indicative of a potential break during the eruption. A maar with a single eruptive deposit is quantified as monogenetic maar, meaning that it was formed by a single eruptive vent from which only a small and ephemeral magma erupted over a short period of time. The stratigraphy may also display several packages of deposits separated either by contrasting discordance surfaces or paleosoils, which reflect multiple phases or episodes of eruptions within the same maar. Such maars are characterized as complex polycyclic maars if the length of time between the eruptive events is relatively short (days to years). For greater length of time (thousands to millions of years), the complex maar will be quantified as polygenetic. These common depositional breaks interpreted as signs of temporal interruption of the eruptions for various timescales also indicate deep magma system processes; hence magmas of different types might erupt during the formation of both simple and complex maars. The feeding dikes can interact with groundwater and form closely distributed small craters. The latter can coalesce to form a final crater with various shapes depending on the distance between them. This observation indicates the significant role of the magmatic plumbing system on the formation and growth of complex and polygenetic maar‐diatreme volcanoes.",book:{id:"5311",slug:"updates-in-volcanology-from-volcano-modelling-to-volcano-geology",title:"Updates in Volcanology",fullTitle:"Updates in Volcanology - From Volcano Modelling to Volcano Geology"},signatures:"Boris Chako Tchamabé, Gabor Kereszturi, Karoly Németh and\nGerardo Carrasco‐Núñez",authors:[{id:"51162",title:"Dr.",name:"Károly",middleName:null,surname:"Németh",slug:"karoly-nemeth",fullName:"Károly Németh"},{id:"62029",title:"Dr.",name:"Gabor",middleName:null,surname:"Kereszturi",slug:"gabor-kereszturi",fullName:"Gabor Kereszturi"},{id:"182834",title:"Dr.",name:"Boris",middleName:null,surname:"Chako Tchamabé",slug:"boris-chako-tchamabe",fullName:"Boris Chako Tchamabé"},{id:"183809",title:"Dr.",name:"Gerardo",middleName:null,surname:"Carrasco-Núñez",slug:"gerardo-carrasco-nunez",fullName:"Gerardo Carrasco-Núñez"}]},{id:"49656",doi:"10.5772/61974",title:"Optical Satellite Remote Sensing of the Coastal Zone Environment — An Overview",slug:"optical-satellite-remote-sensing-of-the-coastal-zone-environment-an-overview",totalDownloads:2463,totalCrossrefCites:7,totalDimensionsCites:15,abstract:"Optical remote-sensing data are a powerful source of information for monitoring the coastal environment. Due to the high complexity of coastal environments, where different natural and anthropogenic phenomenon interact, the selection of the most appropriate sensor(s) is related to the applications required, and the different types of resolutions available (spatial, spectral, radiometric, and temporal) need to be considered. The development of specific techniques and tools based on the processing of optical satellite images makes possible the production of information useful for coastal environment management, without any destructive impacts. This chapter will highlight different subjects related to coastal environments: shoreline change detection, ocean color, water quality, river plumes, coral reef, alga bloom, bathymetry, wetland mapping, and coastal hazards/vulnerability. The main objective of this chapter is not an exhaustive description of the image processing methods/algorithms employed in coastal environmental studies, but focus in the range of applications available. Several limitations were identified. The major challenge still is to have remote-sensing techniques adopted as a routine tool in assessment of change in the coastal zone. Continuing research is required into the techniques employed for assessing change in the coastal environment.",book:{id:"5104",slug:"environmental-applications-of-remote-sensing",title:"Environmental Applications of Remote Sensing",fullTitle:"Environmental Applications of Remote Sensing"},signatures:"Ana C. Teodoro",authors:[{id:"18485",title:"Dr.",name:"Ana",middleName:null,surname:"Teodoro",slug:"ana-teodoro",fullName:"Ana Teodoro"}]},{id:"49851",doi:"10.5772/62122",title:"Detection of Tree Crowns in Very High Spatial Resolution Images",slug:"detection-of-tree-crowns-in-very-high-spatial-resolution-images",totalDownloads:3240,totalCrossrefCites:8,totalDimensionsCites:13,abstract:"The requirements for advanced knowledge on forest resources have led researchers to develop efficient methods to provide detailed information about trees. Since 1999, orbital remote sensing has been providing very high resolution (VHR) image data. The new generation of satellite allows individual tree crowns to be visually identifiable. The increase in spatial resolution has also had a profound effect in image processing techniques and has motivated the development of new object-based procedures to extract information. Tree crown detection has become a major area of research in image analysis considering the complex nature of trees in an uncontrolled environment. This chapter is subdivided into two parts. Part I offers an overview of the state of the art in computer detection of individual tree crowns in VHR images. Part II presents a new hybrid approach developed by the authors that integrates geometrical-optical modeling (GOM), marked point processes (MPP), and template matching (TM) to individually detect tree crowns in VHR images. The method is presented for two different applications: isolated tree detection in an urban environment and automatic tree counting in orchards with an average performance rate of 82% for tree detection and above 90% for tree counting in orchards.",book:{id:"5104",slug:"environmental-applications-of-remote-sensing",title:"Environmental Applications of Remote Sensing",fullTitle:"Environmental Applications of Remote Sensing"},signatures:"Marilia Ferreira Gomes and Philippe Maillard",authors:[{id:"177110",title:"Dr.",name:"Philippe",middleName:null,surname:"Maillard",slug:"philippe-maillard",fullName:"Philippe Maillard"},{id:"177172",title:"Ph.D.",name:"Marilia",middleName:"Ferreira",surname:"Gomes",slug:"marilia-gomes",fullName:"Marilia Gomes"}]}],mostDownloadedChaptersLast30Days:[{id:"66703",title:"P-Wave Teleseismic Tomography: Evidence of Imprints of Deccan Mantle Plume below the Kachchh Rift Zone, Gujarat, India",slug:"p-wave-teleseismic-tomography-evidence-of-imprints-of-deccan-mantle-plume-below-the-kachchh-rift-zon",totalDownloads:2602,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"The Indian plate had experienced the Deccan volcanism at 65 Ma when it moved over the Re-union hotspot, which has altered lithospheric structure below the Kachchh rift zone (KRZ). To quantify the influence of Deccan volcanism on the crust-mantle, the present chapter focuses on the delineation of the upper mantle structure below the KRZ, through the modeling of crust corrected P-residuals and P-wave teleseismic tomography. The crust corrected normalized P-residuals suggest dominant negative residuals associated with the central KRZ, indicating crustal and lithospheric thinning below the KRZ. A low velocity down to a depth of 170 km below the central KRZ is detected through the teleseismic tomography using these P-residuals. However, these residuals also show positive values for the surrounding un-rifted zones. Note that a low shear velocity zone extending from 100–120 km to 170–220 km depth beneath the central KRZ has already been revealed by the modeling of P-RFs. This reduction in seismic velocity in the upper mantle could be explained by the presence of trapped carbonatite/partial melts related to the Deccan volcanism. The influx of volatile CO2 emanating from the carbonatite melts in the asthenosphere might be generating lower crustal earthquakes occurring in the KRZ.",book:{id:"7677",slug:"forecasting-volcanic-eruptions",title:"Forecasting Volcanic Eruptions",fullTitle:"Forecasting Volcanic Eruptions"},signatures:"Prantik Mandal",authors:[{id:"279344",title:"Dr.",name:"Prantik",middleName:null,surname:"Mandal",slug:"prantik-mandal",fullName:"Prantik Mandal"}]},{id:"49608",title:"Remote Sensing of Mountain Glaciers and Related Hazards",slug:"remote-sensing-of-mountain-glaciers-and-related-hazards",totalDownloads:2386,totalCrossrefCites:1,totalDimensionsCites:5,abstract:"Mountain glaciers are highly sensitive to temperature and precipitation fluctuations and active geomorphic agents in shaping the landforms of glaciated regions which are direct imprints of past glaciations, providing reliable evidence of the evolution of the past Cryosphere and contain important information on climatic variables. But most importantly, glaciers have aroused a lot of concern in terms of glacier area changes, thickness change, mass balance and their consequences on water resources as well as related hazards. The contribution of glacier mass loss to global sea-level rise and increasing number of glacier-related hazards are the most important and current socioeconomic concerns. Therefore, understanding the dynamics of the changes and constant monitoring of glaciers are essential for studying climate, water resource management and hydropower and also to predict and evade glacier-related hazards. The recent advances in the techniques of earth observations have proved as a boon for investigating glaciers and glacier-related hazards. Remote sensing technology enables extraction of glacier parameters such as albedo/reflectance/scattering, glacier area, glacier zones and facies, equilibrium line, glacier thickness, volume, mass balance, velocity and glacier topography. The present chapter explores the prospective of remote sensing technology for understanding and surveying glaciers formed at high, inaccessible mountains and glacier-induced hazards.",book:{id:"5104",slug:"environmental-applications-of-remote-sensing",title:"Environmental Applications of Remote Sensing",fullTitle:"Environmental Applications of Remote Sensing"},signatures:"Pratima Pandey, Alagappan Ramanathan and Gopalan\nVenkataraman",authors:[{id:"18342",title:"Prof.",name:"Ramanathan",middleName:null,surname:"Alagappan",slug:"ramanathan-alagappan",fullName:"Ramanathan Alagappan"},{id:"177179",title:"Dr.",name:"Pratima",middleName:null,surname:"Pandey",slug:"pratima-pandey",fullName:"Pratima Pandey"},{id:"178231",title:"Prof.",name:"Gopalan",middleName:null,surname:"Venkataraman",slug:"gopalan-venkataraman",fullName:"Gopalan Venkataraman"}]},{id:"60548",title:"Volcanic Glass and its Uses as Adsorbent",slug:"volcanic-glass-and-its-uses-as-adsorbent",totalDownloads:1601,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Volcanic glasses are an amorphous phyllosilicates formed by the fast cooling of the magma. The physicochemical properties of volcanic glasses are directly related to their chemical composition. Thus, the rhyolitic magma, which presents the highest SiO2 percentage, displays a high viscosity, which leads to explosive eruptions by the ex-solution of H2O, CO2, and SO2, when the pressure diminishes generates a macroporous structure with interesting applications in construction, as abrasive, acoustic, filter as well as in the agriculture field. The macroporosity of volcanic glass allows to host large molecules as biomolecules, tensoactives, or dyes. On the other hand, the existence of hydroxyl groups in this amorphous aluminosilicate also favors the adsorption of cations and anions, so the volcanic glass is an economical adsorbent to retain heavy metals or radioactive cations.",book:{id:"6104",slug:"volcanoes-geological-and-geophysical-setting-theoretical-aspects-and-numerical-modeling-applications-to-industry-and-their-impact-on-the-human-health",title:"Volcanoes",fullTitle:"Volcanoes - Geological and Geophysical Setting, Theoretical Aspects and Numerical Modeling, Applications to Industry and Their Impact on the Human Health"},signatures:"Juan Antonio Cecilia, Miguel Armando Autie-Pérez, Juan Manuel\nLabadie-Suarez, Enrique Rodríguez Castellón and Antonia Infantes\nMolina",authors:[{id:"126325",title:"Dr.",name:"Enrique",middleName:null,surname:"Rodríguez-Castellón",slug:"enrique-rodriguez-castellon",fullName:"Enrique Rodríguez-Castellón"}]},{id:"57502",title:"The Characteristics of Volcanic Eruption in Indonesia",slug:"the-characteristics-of-volcanic-eruption-in-indonesia",totalDownloads:1846,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"This chapter discusses the unique characteristics of the volcanic eruptions in Indonesia. We know that Indonesia has 147 volcanoes and 76 of them are active volcanoes and spread along the islands of Java, Lesser Sunda, Sumatra, and Celebes. The characteristics of Indonesian volcanoes are quite unique in terms of the formation process, eruption phenomenon, and the resulting natural disasters. Most volcanoes in Indonesia consist of stratovolcanoes, but this does not mean that the resulting eruptions are always explosive and they have a long period. This can be seen from the activity of Semeru that always erupts effusively every day, Sinabung that has a very short eruption period, Tangkuban Perahu eruption that occurs suddenly with the lack of early signs, and Merapi and Kelud that have eruption period that is getting shorter. Based on the results of our study it can be known that the types of volcanic eruption are influenced by the structure of the constituent rocks of the volcanoes. However, the presence of external control factors in the form of large-scale earthquakes will affect their periodicity. The large earthquakes can affect the stability of the magma chamber that can trigger a premature eruption.",book:{id:"6104",slug:"volcanoes-geological-and-geophysical-setting-theoretical-aspects-and-numerical-modeling-applications-to-industry-and-their-impact-on-the-human-health",title:"Volcanoes",fullTitle:"Volcanoes - Geological and Geophysical Setting, Theoretical Aspects and Numerical Modeling, Applications to Industry and Their Impact on the Human Health"},signatures:"Eko Hariyono and Liliasari S",authors:[{id:"214360",title:"Dr.",name:"Eko",middleName:null,surname:"Hariyono",slug:"eko-hariyono",fullName:"Eko Hariyono"},{id:"219699",title:"Prof.",name:"Liliasari",middleName:null,surname:"S",slug:"liliasari-s",fullName:"Liliasari S"}]},{id:"51105",title:"How Polygenetic are Monogenetic Volcanoes: Case Studies of Some Complex Maar‐Diatreme Volcanoes",slug:"how-polygenetic-are-monogenetic-volcanoes-case-studies-of-some-complex-maar-diatreme-volcanoes",totalDownloads:1939,totalCrossrefCites:5,totalDimensionsCites:15,abstract:"The increasing number of field investigations and various controlled benchtop and large‐scale experiments have permitted the evaluation of a large number of processes involved in the formation of maar‐diatreme volcanoes, the second most common type of small‐volume subaerial volcanoes on Earth. A maar‐diatreme volcano is recognized by a volcanic crater that is cut into country rocks and surrounded by a low‐height ejecta rim composed of pyroclastic deposits of few meters to up to 200 m thick above the syn‐eruptive surface level. The craters vary from 0.1 km to up to 5 km wide and vary in depth from a few dozen meters to up to 300 m deep. Their irregular morphology reflects the simple or complex volcanic and cratering processes involved in their formation. The simplicity or complexity of the crater or the entire maar itself is usually observed in the stratigraphy of the surrounding ejecta rings. The latter are composed of sequences of successive alternating and contrastingly bedded phreatomagmatic‐derived dilute pyroclastic density currents (PDC) and fallout depositions, with occasional interbedded Strombolian‐derived spatter materials or scoria fall units, exemplifying the changes in the eruptive styles during the formation of the volcano. The entire stratigraphic sequence might be preserved as a single eruptive package (small or very thick) in which there is no stratigraphic gap or significant discordance indicative of a potential break during the eruption. A maar with a single eruptive deposit is quantified as monogenetic maar, meaning that it was formed by a single eruptive vent from which only a small and ephemeral magma erupted over a short period of time. The stratigraphy may also display several packages of deposits separated either by contrasting discordance surfaces or paleosoils, which reflect multiple phases or episodes of eruptions within the same maar. Such maars are characterized as complex polycyclic maars if the length of time between the eruptive events is relatively short (days to years). For greater length of time (thousands to millions of years), the complex maar will be quantified as polygenetic. These common depositional breaks interpreted as signs of temporal interruption of the eruptions for various timescales also indicate deep magma system processes; hence magmas of different types might erupt during the formation of both simple and complex maars. The feeding dikes can interact with groundwater and form closely distributed small craters. The latter can coalesce to form a final crater with various shapes depending on the distance between them. This observation indicates the significant role of the magmatic plumbing system on the formation and growth of complex and polygenetic maar‐diatreme volcanoes.",book:{id:"5311",slug:"updates-in-volcanology-from-volcano-modelling-to-volcano-geology",title:"Updates in Volcanology",fullTitle:"Updates in Volcanology - From Volcano Modelling to Volcano Geology"},signatures:"Boris Chako Tchamabé, Gabor Kereszturi, Karoly Németh and\nGerardo Carrasco‐Núñez",authors:[{id:"51162",title:"Dr.",name:"Károly",middleName:null,surname:"Németh",slug:"karoly-nemeth",fullName:"Károly Németh"},{id:"62029",title:"Dr.",name:"Gabor",middleName:null,surname:"Kereszturi",slug:"gabor-kereszturi",fullName:"Gabor Kereszturi"},{id:"182834",title:"Dr.",name:"Boris",middleName:null,surname:"Chako Tchamabé",slug:"boris-chako-tchamabe",fullName:"Boris Chako Tchamabé"},{id:"183809",title:"Dr.",name:"Gerardo",middleName:null,surname:"Carrasco-Núñez",slug:"gerardo-carrasco-nunez",fullName:"Gerardo Carrasco-Núñez"}]}],onlineFirstChaptersFilter:{topicId:"658",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"6",title:"Infectious Diseases",doi:"10.5772/intechopen.71852",issn:"2631-6188",scope:"This series will provide a comprehensive overview of recent research trends in various Infectious Diseases (as per the most recent Baltimore classification). Topics will include general overviews of infections, immunopathology, diagnosis, treatment, epidemiology, etiology, and current clinical recommendations for managing infectious diseases. Ongoing issues, recent advances, and future diagnostic approaches and therapeutic strategies will also be discussed. This book series will focus on various aspects and properties of infectious diseases whose deep understanding is essential for safeguarding the human race from losing resources and economies due to pathogens.",coverUrl:"https://cdn.intechopen.com/series/covers/6.jpg",latestPublicationDate:"June 25th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:13,editor:{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},editorTwo:null,editorThree:null},subseries:{paginationCount:3,paginationItems:[{id:"7",title:"Bioinformatics and Medical Informatics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",isOpenForSubmission:!0,editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",slug:"slawomir-wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",biography:"Professor Sławomir Wilczyński, Head of the Chair of Department of Basic Biomedical Sciences, Faculty of Pharmaceutical Sciences, Medical University of Silesia in Katowice, Poland. His research interests are focused on modern imaging methods used in medicine and pharmacy, including in particular hyperspectral imaging, dynamic thermovision analysis, high-resolution ultrasound, as well as other techniques such as EPR, NMR and hemispheric directional reflectance. Author of over 100 scientific works, patents and industrial designs. Expert of the Polish National Center for Research and Development, Member of the Investment Committee in the Bridge Alfa NCBiR program, expert of the Polish Ministry of Funds and Regional Policy, Polish Medical Research Agency. Editor-in-chief of the journal in the field of aesthetic medicine and dermatology - Aesthetica.",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null},{id:"8",title:"Bioinspired Technology and Biomechanics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",isOpenForSubmission:!0,editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",slug:"adriano-andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",biography:"Dr. Adriano de Oliveira Andrade graduated in Electrical Engineering at the Federal University of Goiás (Brazil) in 1997. He received his MSc and PhD in Biomedical Engineering respectively from the Federal University of Uberlândia (UFU, Brazil) in 2000 and from the University of Reading (UK) in 2005. He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). He was the head of the undergraduate program in Biomedical Engineering of the Federal University of Uberlândia (2015 - June/2019) and the head of the Centre for Innovation and Technology Assessment in Health (NIATS/UFU) since 2010. He is the head of the Postgraduate Program in Biomedical Engineering (UFU, July/2019 - to date). He was the secretary of the Parkinson's Disease Association of Uberlândia (2018-2019). Dr. Andrade's primary area of research is focused towards getting information from the neuromuscular system to understand its strategies of organization, adaptation and controlling in the context of motor neuron diseases. His research interests include Biomedical Signal Processing and Modelling, Assistive Technology, Rehabilitation Engineering, Neuroengineering and Parkinson's Disease.",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",isOpenForSubmission:!0,editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",slug:"luis-villarreal-gomez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",biography:"Dr. Luis Villarreal is a research professor from the Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Tijuana, Baja California, México. Dr. Villarreal is the editor in chief and founder of the Revista de Ciencias Tecnológicas (RECIT) (https://recit.uabc.mx/) and is a member of several editorial and reviewer boards for numerous international journals. He has published more than thirty international papers and reviewed more than ninety-two manuscripts. 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He also obtained an MSc in Molecular and Genetic Medicine, and a Ph.D. in Clinical Immunology and Human Genetics from the University of Sheffield, UK. He also completed a short-term fellowship in Pediatric Clinical Immunology and Bone Marrow Transplantation at Newcastle General Hospital, England. Dr. Rezaei is a Full Professor of Immunology and Vice Dean of International Affairs and Research, at the School of Medicine, Tehran University of Medical Sciences, and the co-founder and head of the Research Center for Immunodeficiencies. He is also the founding president of the Universal Scientific Education and Research Network (USERN). Dr. Rezaei has directed more than 100 research projects and has designed and participated in several international collaborative projects. He is an editor, editorial assistant, or editorial board member of more than forty international journals. He has edited more than 50 international books, presented more than 500 lectures/posters in congresses/meetings, and published more than 1,100 scientific papers in international journals.",institutionString:"Tehran University of Medical Sciences",institution:{name:"Tehran University of Medical Sciences",country:{name:"Iran"}}},{id:"180733",title:"Dr.",name:"Jean",middleName:null,surname:"Engohang-Ndong",slug:"jean-engohang-ndong",fullName:"Jean Engohang-Ndong",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180733/images/system/180733.png",biography:"Dr. Jean Engohang-Ndong was born and raised in Gabon. After obtaining his Associate Degree of Science at the University of Science and Technology of Masuku, Gabon, he continued his education in France where he obtained his BS, MS, and Ph.D. in Medical Microbiology. He worked as a post-doctoral fellow at the Public Health Research Institute (PHRI), Newark, NJ for four years before accepting a three-year faculty position at Brigham Young University-Hawaii. Dr. Engohang-Ndong is a tenured faculty member with the academic rank of Full Professor at Kent State University, Ohio, where he teaches a wide range of biological science courses and pursues his research in medical and environmental microbiology. Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. 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