Remote Sensing Image Analysis: Including The Spatial Domain

  • Steven M. De Jong
  • Freek D. Van der Meer

Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 5)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Steven M. de Jong, Freek D. van der Meer, Jan G.P.W Clevers
    Pages 1-15
  3. Steven M. de Jong, Edzer J. Pebesma, Freek D. van der Meer
    Pages 17-35
  4. Giles M. Foody
    Pages 37-49
  5. Peter M. Atkinson
    Pages 51-70
  6. Mario Chica-Olmo, Francisco Abarca-Hernández
    Pages 93-111
  7. Klaas Scholte, Javier García-Haro, Thomas Kemper
    Pages 181-200
  8. Thomas Blaschke, Charles Burnett, Anssi Pekkarinen
    Pages 211-236
  9. Luis M.T. de Carvalho, Fausto W. Acerbi Jr, Jan G.P.W. Clevers, Leila M.G. Fonseca, Steven M. de Jong
    Pages 237-270
  10. Back Matter
    Pages 311-359

About this book

Introduction

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.

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.

Keywords

Earth System LED digital elevation model environmental remote sensing geostatistics image processing land use change

Editors and affiliations

  • Steven M. De Jong
    • 1
  • Freek D. Van der Meer
    • 2
    • 3
  1. 1.Department of Physical Geography, Faculty of GeosciencesUtrecht UniversityThe Netherlands
  2. 2.Department of Earth Systems AnalysisInternational Institute for Geo-Information Science and Earth Observation (ITC)EnschedeThe Netherlands
  3. 3.Department of Physical Geography, Faculty of GeosciencesUtrecht UniversityThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-2560-0
  • Copyright Information Springer Science+Business Media B.V. 2004
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-2559-4
  • Online ISBN 978-1-4020-2560-0
  • Series Print ISSN 1567-3200
  • About this book