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Books > Computing & IT > Applications of computing > Image processing

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Real-Time Progressive Hyperspectral Image Processing - Endmember Finding and Anomaly Detection (Hardcover, 1st ed. 2016) Loot Price: R4,371
Discovery Miles 43 710
Real-Time Progressive Hyperspectral Image Processing - Endmember Finding and Anomaly Detection (Hardcover, 1st ed. 2016):...

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

Chein-I Chang

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Loot Price R4,371 Discovery Miles 43 710 | Repayment Terms: R410 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: March 2016
First published: 2016
Authors: Chein-I Chang
Dimensions: 235 x 155 x 42mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 623
Edition: 1st ed. 2016
ISBN-13: 978-1-4419-6186-0
Categories: Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 1-4419-6186-0
Barcode: 9781441961860

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