Real-Time Progressive Hyperspectral Image Processing - Endmember Finding and Anomaly Detection (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	April 2018
First published:	2016
Authors:	Chein-I Chang
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Paperback
Pages:	623
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-1-4939-7925-7
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4939-7925-6
Barcode:	9781493979257

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