Hyperspectral Image Processing
Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-
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perspectral Image Processing
Hyperspectral Image Processing
Liguo Wang Chunhui Zhao •
Hyperspectral Image Processing
123
Liguo Wang Harbin Engineering University Harbin China
ISBN 978-3-662-47455-6 DOI 10.1007/978-3-662-47456-3
Chunhui Zhao Harbin Engineering University Harbin China
ISBN 978-3-662-47456-3
(eBook)
Jointly published with National Defense Industry Press, Beijing ISBN: 978-7-118-08646-1 National Defense Industry Press, Beijing Library of Congress Control Number: 2015941114 Springer Heidelberg New York Dordrecht London © National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016 This work is subject to copyright. All rights are reserved by the Publishers, 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 publishers, 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 publishers 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 Springer-Verlag GmbH Berlin Heidelberg is part of Springer Science+Business Media (www.springer.com)
Preface
With the rapid development of the modern science and technology, the hyperspectral remote sensing science, as a comprehensive high and new technology, has gained the extensive as well as considerable development in the theory, technology, and application. The hyperspectral remote sensing will acquire the land object information by utilizing the space image and spectral features, to achieve the unity of image and spectrum and provide the powerful technical support for the humans to learn the world and change the world. At present, the hyperspectral remote sensing has been widely applied to the fields such as military affairs, agriculture, forest, meadow, ocean, geology, and ecology. In recent years, the quantity of the remote sensing SCI periodicals and the impact factors have been increased internationally, and the international academic conference specially aiming at the hyperspectrum is gradually developed and continues to mature. The development degree of the hyperspectral image processing technique directly determines the information acquisition and utilization degree. Our country attaches importance to the development of this technique. The supporting strength of th
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