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Real-Time Progressive Hyperspectral Image Processing - Endmember Finding and Anomaly Detection (Hardcover, 1st ed. 2016)
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Real-Time Progressive Hyperspectral Image Processing - Endmember Finding and Anomaly Detection (Hardcover, 1st ed. 2016)
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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.
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