Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis
Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis describes an integrated approach to using remotely sensed data in conjunction with geographic information systems (GIS) for landscape analysis. Remotely sensed data are compressed b
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Environmental and Ecological Statistics Series Editor G. P. Patil Center for Statistical Ecology and Environmental Statistics Department of Statistics The Pennsylvania State University University Park, PA, 16802, USA
Email address: gpp@ stat.psu.edu The Springer series Environmental and Ecological Statistics is devoted to the cross-disciplinary subject area of environmental and ecological statistics discussing important topics and themes in statistical ecology, environmental statistics, and relevant risk analysis. Emphasis is focused on applied mathematical statistics, statistical methodology, data interpretation and improvement for future use, with a view to advance statistics for environment, ecology, and environmental health, and to advance environmental theory and practice using valid statistics. Each volume in the Environmental and Ecological Statistics series is based on the appropriateness of the statistical methodology to the particular environmental and ecological problem area, within the context of contemporary environmental issues and the associated statistical tools, concepts, and methods.
Additional information about this series can be obtained from our website: www.springer.com
PATTERN-BASED COMPRESSION OF MULTI-BAND IMAGE DATA FOR LANDSCAPE ANALYSIS
by Wayne L. Myers School of Forest Resources The Pennsylvania State University, USA and Ganapati P. Patil Center for Statistical Ecology and Environmental Statistics The Pennsylvania State University, USA
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Library of Congress Control Number: 2006932042 ISBN-10: 0-387-44434-3 ISBN-13: 978-0-387-44434-5
e-ISBN-10: 0-387-44439-4 e-ISBN-13: 978-0-387-44439-0
Printed on acid-free paper.
© 2006 Springer Science+Business Media, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
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Dedication
This monograph is dedicated to Faith and Lalit, not as a work but as a labor of love, in the same spirit with which our wives have so lovingly supported us over the years during which these analytical approaches and their predecessors were in formative and convergent stages. They have patiently encouraged us, and have often assumed additional tasks while we were occupied or preoccupied with these concepts and endeavors. Likewise, they have tolerated our travels and extended absences when circumstances made it difficult for them to accompany us. They hav
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