Characterization of SAR Clutter and Its Applications to Land and Ocean Observations
This book discusses statistical modeling of single- and multi-channel synthetic aperture radar (SAR) images and the applications of these newly developed models in land and ocean monitoring, such as target detection and terrain classification. It is a val
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Characterization of SAR Clutter and Its Applications to Land and Ocean Observations
Characterization of SAR Clutter and Its Applications to Land and Ocean Observations
Gui Gao
Characterization of SAR Clutter and Its Applications to Land and Ocean Observations
123
Gui Gao National University of Defense Technology Changsha, China
ISBN 978-981-13-1019-5 ISBN 978-981-13-1020-1 https://doi.org/10.1007/978-981-13-1020-1
(eBook)
Jointly published with National Defense Industry Press, Beijing, China The print edition is not for sale in China Mainland. Customers from China Mainland please order the print book from: National Defense Industry Press, Beijing. Library of Congress Control Number: 2018967735 © National Defense Industry Press, Beijing and Springer Nature Singapore Pte Ltd. 2019 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. The publishers remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Spaceborne and airborne synthetic aperture radar (SAR) sensors have been intensively applied to map, monitor, and analyze the Earth: New operational modes increase the flexibility of SAR sensors that are now able to obtain microwave 2-D images as well as 3-D interferometry products within a wide range of space and time resolution and coverage. However, the SAR data processing is challenging due to the changing properties of targets (such as vehicles, ships, and buildings) and terrains for the electromagnetic waves with various bands, views, polarimetric modes, and configurations. Hence, the definition of new techniques and algorithms for SAR data usage as well as assessment of existing methods for SAR products exploitation are required. Statistical modeling of SAR images is one of the basic problems of SAR image interpreta
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