Optical Remote Sensing Advances in Signal Processing and Exploitatio
Optical remote sensing involves acquisition and analysis of optical data – electromagnetic radiation captured by the sensing modality after reflecting off an area of interest on ground. Optical image acquisition modalities have come a long way – fro
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Series Editors Riad Hammoud, DynaVox Technologies, Pittsburgh, PA, USA Lawrence B. Wolff, Equinox Corporation, New York, USA
For further volumes: http://www.springer.com/series/8612
Saurabh Prasad Lori M. Bruce Jocelyn Chanussot •
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Editors
Optical Remote Sensing Advances in Signal Processing and Exploitation Techniques
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Editors Asst. Prof. Saurabh Prasad Department of Electrical and Computer Engineering Geosystems Research Institute Mississippi State University Box 9652, Mississippi MS 39762 USA e-mail: [email protected]
Prof. Dr. Jocelyn Chanussot Institut Polytechnique de Grenoble av. Félix Viallet 46 38000 Grenoble CX 1 France e-mail: [email protected]
Prof. Lori M. Bruce Department of Electrical and Computer Engineering Geosystems Research Institute Mississippi State University Box 9652, Mississippi MS 39762 USA e-mail: [email protected]
ISSN 2190-5916
e-ISSN 2190-5924
ISBN 978-3-642-14211-6
e-ISBN 978-3-642-14212-3
DOI 10.1007/978-3-642-14212-3 Springer Heidelberg Dordrecht London New York Ó Springer-Verlag Berlin Heidelberg 2011 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the right of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, 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 the German Copyright Law. 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. Cover design: eStudio Calamar, Berlin/Figueres Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
The evolution of optical remote sensing over the past few decades has enabled the availability of rich spatial, spectral and temporal information to remote sensing analysts. Although this has opened the doors to immense possibilities for analysis of optical remotely sensed imagery, it has also necessitated advancements in signal processing and exploitation algorithms to keep up with advances in the quality and quantity of available data. As an example, the transition from multispectral to hyperspectral imagery requires conventional statistical pattern classification algorithms to be modified to effectively extract useful information from the high dimensional hyperspectral feature space. Although hyperspectral imagery is expected to provide a much detailed spectral response per pixel, conventional algorithms developed and perfected for multispectral data would often be suboptimal for hyperspectral data. At best, they would require a significant inc
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