TY  - CHAP
AU  - N. N. de Moura
AU  - J. M. de Seixas
AU  - Ricardo Ramos
ED  - N. Z. Kolev
Y1  - 2011-09-12
PY  - 2011
T1  - Passive Sonar Signal Detection and Classification Based on Independent Component Analysis
N2  - The book is an edited collection of research articles covering the current state of sonar systems, the signal processing methods and their applications prepared by experts in the field. The first section is dedicated to the theory and applications of innovative synthetic aperture, interferometric, multistatic sonars and modeling and simulation. Special section in the book is dedicated to sonar signal processing methods covering: passive sonar array beamforming, direction of arrival estimation, signal detection and classification using DEMON and LOFAR principles, adaptive matched field signal processing. The image processing techniques include: image denoising, detection and classification of artificial mine like objects and application of hidden Markov model and artificial neural networks for signal classification. The biology applications include the analysis of biosonar capabilities and underwater sound influence on human hearing. The marine science applications include fish species target strength modeling, identification and discrimination from bottom scattering and pelagic biomass neural network estimation methods. Marine geology has place in the book with geomorphological parameters estimation from side scan sonar images. The book will be interesting not only for specialists in the area but also for readers as a guide in sonar systems principles of operation, signal processing methods and marine applications.
BT  - Sonar Systems
SP  - Ch. 5
UR  - https://doi.org/10.5772/18286
DO  - 10.5772/18286
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-16
ER  -