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"John A. Richards · Xiuping Jia Remote Sensing Digital Image Analysis", "John A. Richards · Xiuping Jia Remote Sensing Digital Image Analysis An Introduction 4th Edition With 197 Figures", "John A. Richards The Australian National University Research School of Information Sciences and Engineering (RSISE) Dept. of Systems Engineering Canberra, ACT 0200 Australia John.Richards@anu.edu.au Xiuping Jia The University of New South Wales Australian Defence Force Academy School of Information Technology and Electrical Engineering Northcott Drive Cambell ACT 2600 Australia x-jia@adfa.edu.au Front Cover Image of the city of Canberra, the national capital of Australia, recorded by the HyMap scanner manufactured by Integrated Spectronics Pty Ltd, Sydney, Australia Library of Congress Control Number: 2005926341 ISBN-10 3-540-25128-6 Springer Berlin Heidelberg New York ISBN-13 978-3-540-25128-6 Springer Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in other ways, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under German Copyright Law. Springer is a part of Springer Science+Business Media springeronline.com (c) Springer-Verlag Berlin Heidelberg 2006 Printed in Germany The use of general descriptive names, registered names, trademarks, 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. Typesetting: PTP-Berlin Protago-TEX-Production GmbH, Germany Final processing by PTP-Berlin Protago-TEX-Production GmbH, Germany Cover-Design: Struve & Partner, Heidelberg Printed on acid-free paper 62 3141 Yu - 5 4 3 2 1 0 Preface to the Fourth Edition This fourth edition has been developed to reflect the changes that have occurred in techniques for the analysis of digital image data in remote sensing over the past five years or so. Its focus is on those procedures that seem now to have become part of the set of tools regularly used to perform thematic mapping. As with previous revisions, the fundamental material has been preserved in its original form because of its tutorial value; its style has been revised in places and it has been supplemented if newer aspects have emerged since the third edition appeared. The theme of the book remains, however, on the needs of the senior student and practitioner. The earlier editions have contained extensive material in Chapter 1 on satellite programs and sensor characteristics. Although that material is important in the context of understanding the application of image analysis procedures, the rapid development of quasi-and fully operational programs in the past decade has meant that expanding the material of Chap. 1, as required, would have distracted from the role of that chapter to introduce the reader to the nature and properties of digital image data in remote sensing. Accordingly, all of the material on satellite programs and sensor specifications has been moved to a new Appendix A. Chapter 1 has then been completely rewritten as a stand-alone introduction to sensors in general and the data properties of importance in image analysis. Many changes have been made throughout the book to meet the increasing emphasis on hyperspectral data and its analysis. Although much of that is contained in Chap. 13, techniques required for hyperspectral data processing are developed in the context of previous chapters, particularly new material on feature extraction tools that work well on hyperspectral data sets; they are covered in Chap. 10. Chapter 10 has been re-named. It was felt that there is too much confusion in the term Data Fusion to retain it as the title for material that is fundamentally concerned with thematic mapping from multiple data sources and multiple sensors. Chapter 8, dealing with supervised classification methods, has been substantially supplemented. Sections have been incorporated on k nearest neighbour classification, Markov random fields and support vector classifiers." 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