E-Book Overview
Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps.
Audience:
The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.
E-Book Content
Remote Sensing Image Analysis: Including the Spatial Domain
Remote Sensing and Digital Image Processing VOLUME 5 Series Editor: Freek D. van der Meer, Department of Earth Systems Analysis, International Institute for Geo-Information Science and Earth Observation (ITC), Enschede, The Netherlands & Department of Geotechnology, Faculty of Civil Engineering and Geosciences, Technical University Delft, The Netherlands Editorial Advisory Board: Michael Abrams, NASA Jet Propulsion Laboratory, Pasadena, CA, U.S.A. Paul Curran, Department of Geography, University of Southampton, U.K. Arnold Dekker, CSIRO, Land and Water Division, Canberra, Australia Steven M. de Jong, Department of Physical Geography, Faculty of Geosciences, Utrecht University, The Netherlands Michael Schaepman, Centre for Geo-Information, Wageningen UR, The Netherlands
REMOTE SENSING IMAGE ANALYSIS: INCLUDING THE SPATIAL DOMAIN edited by
STEVEN M. DE JONG Department of Physical Geography, Faculty of Geosciences, Utrecht University, The Netherlands and
FREEK D. VAN DER MEER Department of Earth Systems Analysis, International Institute for Geo-Information Science and Earth Observation (ITC), Enschede, The Netherlands & Department of Geotechnology, Faculty of Civil Engineering and Geosciences, Technical University Delft, The Netherlands
Including a CD-ROM with colour images
KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT, LONDON, MOSCOW
CD-ROM available only in print edition eBook ISBN: 1-4020-2560-2 Print ISBN: 1-4020-2559-9
©2005 Springer Science + Business Media, Inc. Print ©2004 Kluwer Academic Publishers Dordrecht All rights reserved No part of this eBook may be reproduced or transmitted in any form or by any means, electronic, mechanical, recording, or otherwise, without written consent from the Publisher Created in the United States of America
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Preface
Since the launch of the first earth observation satellite ERTS-1 in 1972 much effort has been made to develop suitable and scientifically sound methods of information extraction from digital images. Over the years, Remote Sensing has proven to be a valuable tool for identifying objects at the earth’s surface and for measuring and monitoring important biophysical characteristics and human activities on the te