Real-Time Progressive Hyperspectral Image Processing
Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection
Springer | Signals & Communication | Mar 23 2016 | ISBN-10: 1441961860 | 623 pages | pdf | 26.75 mb
Springer | Signals & Communication | Mar 23 2016 | ISBN-10: 1441961860 | 623 pages | pdf | 26.75 mb
Authors: Chang, Chein-I
Covers new research in the field of hyperspectral imaging including FPGA design, processes for finding endmembers, and progressive band processing
Develops two new theories for progressive hyperspectral imaging, sample-wise progressive hyperspectral imaging, and band-wise progressive hyperspectral imaging
Focuses on causal and real-time hyperspectral imaging
The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive HyperSpectral Imaging (PHSI) and Recursive HyperSpectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book.
Number of Illustrations and Tables
75 b/w illustrations, 256 illustrations in colour
Topics
Signal, Image and Speech Processing
Image Processing and Computer Vision
Pattern Recognition
Biometrics
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