Signal Processing for Remote Sensing

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Signal Processing for Remote Sensing. Signal processing has been playing an increasingly important role in remote sensing, though most remote sensing literatures are concerned with remote sensing images. Many data received by remote sensors such as microwave and geophysical sensors, are signals or waveforms, which can be processed by analog and digital signal processing techniques.. Cũng như những tài liệu khác được thành viên chia sẽ hoặc do sưu tầm lại và chia sẽ lại cho các bạn với mục đích nâng cao trí thức , chúng tôi không thu tiền từ người dùng ,nếu phát hiện nội dung phi phạm bản quyền hoặc vi phạm pháp luật xin thông báo cho website ,Ngoài thư viện tài liệu này, bạn có thể tải tài liệu, bài tập lớn phục vụ học tập Một ít tài liệu tải về sai font không hiển thị đúng, có thể máy tính bạn không hỗ trợ font củ, bạn tải các font .vntime củ về cài sẽ xem được.

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Signal Processing forRemote Sensing ß 2007 by Taylor & Francis Group, LLC. ß 2007 by Taylor & Francis Group, LLC. Signal Processing forRemote Sensing Editedby C.H.Chen Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business ß 2007 by Taylor & Francis Group, LLC. The material was previously published in Signal and Image Processing for Remote Sensing © Taylor and Francis 2006. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2008 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Printed in the United States of America on acid-free paper 10 9 8 7 6 5 4 3 2 1 International Standard Book Number-13: 978-1-4200-6666-1 (Hardcover) This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or uti-lized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopy-ing, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, please access www.copyright.com (http:// www.copyright.com/) or contact the Copyright Clearance Center, Inc. (CCC) 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. CCC is a not-for-profit organization that provides licenses and registration for a variety of users. For orga-nizations that have been granted a photocopy license by the CCC, a separate system of payment has been arranged. Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. Library of Congress Cataloging-in-Publication Data Signal processing for remote sensing / [edited by] C.H. Chen. p. cm. Includes bibliographical references and index. ISBN-13: 978-1-4200-6666-1 ISBN-10: 1-4200-6666-8 1. Remote sensing--Data processing. 2. Signal processing. I. Chen, C. H. (Chi-hau), 1937- II. Title. G70.4.S536 2008 621.36’7801154--dc22 2007030189 Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com ß 2007 by Taylor & Francis Group, LLC. Preface Signal processing has been playing an increasingly important role in remote sensing, though most remote sensing literatures are concerned with remote sensing images. Many data received by remote sensors such as microwave and geophysical sensors, are signals or waveforms, which can be processed by analog and digital signal processing techniques. This volume is a spin-off edition derived from Signal and Image Processing for Remote Sensing. It focuses on signal processing for remote sensing, and presents for the first time a comprehensive and up-to-date treatment of the subject. The progress in signal processing itself has been enormous in the last 30 years, but signal processing application in remote sensing has received more attention only in recent years. This volume covers important signal processing topics like principal component analysis, projected principal compon-ent analysis, Kalman adaptive filtering, prediction error filtering for interpolation, factor analysis, time series analysis, neural network classification, neural network parameter retrieval, blind source separation algorithm, independent component analysis, etc. The book presents for the first time the use of Huang–Hilbert transform in remote sensing data. As there are so many areas in remote sensing that can benefit from signal process-ing, we hope the book can help to attract more talents in signal processing to work on remote sensing problems that may involve environmental monitoring, resource manage-ment and planning, as well as energy exploration, and many others with the use of remotely sensed data. Original Preface from Signal and Image Processing for Remote Sensing Both signal processing and image processing have been playing increasingly important roles in remote sensing. While most data from satellites are in image forms and thus image processing has been used most often, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. In contrast to other books in this field which deal almost exclusively with the image processing for remote sensing, this book provides a good balance between the roles of signal processing and image processing in remote sensing. The book covers mainly methodologies of signal processing and image processing in remote sensing. Emphasis is thus placed on the mathematical techniques which we believe will be less changed as compared to sensor, software and hardware technologies. Furthermore, the term ‘‘remote sensing’’ is not limited to the problems with data from satellite sensors. Other sensors which acquire data remotely are also considered. Thus another unique feature of the book is the coverage of a broader scope of the remote sensing information processing problems than any other book in the area. The book is divided into two parts [now published as separate volumes under the following titles]. Part I [comprising the present volume], Signal Processing for Remote Sensing, has 12 chapters and Part II, Image Processing for Remote Sensing, has 16 chapters. The chapters are written by leaders in the field. We are very fortunate, for example, to have Dr. Norden Huang, inventor of the Huang–Hilbert transform, along with Dr. Steven Long, to write a chapter on the application of the transform to remote sensing problem, and Dr. Enders A. Robinson, who has made many major contributions to geophysical signal processing for over half a century, to write a chapter on the basic problem of constructing seismic images by ray tracing. ß 2007 by Taylor & Francis Group, LLC. ... - tailieumienphi.vn 658627