Real-Time Progressive Hyperspectral Image Processing Endmember Findi
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 Hyperspe
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Real-Time Progressive Hyperspectral Image Processing Endmember Finding and Anomaly Detection
Real-Time Progressive Hyperspectral Image Processing
Chein-I Chang
Real-Time Progressive Hyperspectral Image Processing Endmember Finding and Anomaly Detection
123
Chein-I Chang Baltimore, MD USA
ISBN 978-1-4419-6186-0 DOI 10.1007/978-1-4419-6187-7
ISBN 978-1-4419-6187-7
(eBook)
Library of Congress Control Number: 2015956354 © Springer Science+Business Media, LLC 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by SpringerNature The registered company is Springer Science+Business Media LLC New York
This book is particularly dedicated to the third memorial anniversary for my late mother (張郭貴蘭女士) who passed away on November 28, 2012 while this book was being undertaken. Her constant inspiration and endless support were driving forces in the completion of this book.
Preface
Because of recent advances of hyperspectral imaging technology with hundreds of spectral bands being used for data acquisition, how to handle enormous data volumes using effective and efficient means is an important issue. This book is the result of my recent research work on design and development of algorithms for real-time processing of hyperspectral imagery. Its main theme is primarily focused on real-time processing, which has received considerable interest in recent years. In particular, it introduces a new concept, to be called Progressive HyperSpectral Imaging (PHSI), which has never been explored before. More specifically, it considers sample-wise PHSI which processes hyperspectral data sample by sample in a progressive manner with full bands of each data sample vector being processed. With PHSI, various operating forms of processing data can be interpreted under this umbrella—for example, on-board processing, on-line processing, sequential processing, iterative processing, causal processing, real-time processing, etc. This book add
