Open access peer-reviewed Edited Volume

Processing and Analysis of Hyperspectral Data

Edited by Jie Chen

Northwestern Polytechnical University

Co-editors:

Yingying Song

University of Lorraine

Hengchao Li

Southwest Jiaotong University

Hyperspectral imagery has received considerable attention in the last decade as it provides rich spectral information and allows the analysis of objects that are unidentifiable by traditional imaging techniques. It has a wide range of applications, including remote sensing, industry sorting, food analysis, biomedical imaging, etc. However, in contrast to RGB images from which information can be intuitively extracted, hyperspectral data is only useful with proper processing and analysis. This book covers theoretical advances of hyperspectral image processing and applications of hyperspectral processing, including unmixing, classification, super-resolution, and quality estimation with classical and deep learning methods.

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Processing and Analysis of Hyperspectral DataEdited by Jie Chen

Published: January 22nd 2020

DOI: 10.5772/intechopen.78179

ISBN: 978-1-78985-110-6

Print ISBN: 978-1-78985-109-0

eBook (PDF) ISBN: 978-1-83880-462-6

Copyright year: 2020

Books open for chapter submissions

785 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Hyperspectral Endmember Extraction Techniques

By Karbhari V. Kale, Mahesh M. Solankar and Dhananjay B. Nalawade

135

Open access peer-reviewed

2. Hyperspectral Image Classification

By Rajesh Gogineni and Ashvini Chaturvedi

94

Open access peer-reviewed

3. Hyperspectral Image Super-Resolution Using Optimization and DCNN-Based Methods

By Xian-Hua Han

120

Open access peer-reviewed

4. Fast Chaotic Encryption for Hyperspectral Images

By Carlos Villaseñor, Javier Gomez-Avila, Nancy Arana-Daniel, Alma Y. Alanis and Carlos Lopez-Franco

97

Open access peer-reviewed

5. NIR Hyperspectral Imaging for Mapping of Moisture Content Distribution in Tea Buds during Dehydration

By Keqiang Yu, Yanru Zhao, Xiaoli Li and Yong He

146

Open access peer-reviewed

6. Use of Hyperspectral Remote Sensing to Estimate Water Quality

By Mbongowo Mbuh

194

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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