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Real-Time Progressive Hyperspectral Image Processing: Endmember Finding and Anomaly Detection

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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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Detail Information

Series Title

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Call Number

006.37

Publisher

: ., 2016

Collation

-

Language

English

ISBN/ISSN

978-1-4419-6187-7

Classification

006.37

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Computer Vision

Specific Detail Info

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Statement of Responsibility

Chein-I Chang

Other Information

Cataloger

Firli

Source

https://link.springer.com/book/10.1007/978-1-4419-6187-7

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