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Object-Based Image Analysis

Spatial Concepts for Knowledge-Driven Remote Sensing Applications

  • Thomas Blaschke
  • Stefan Lang
  • Geoffrey J. Hay

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Why object-based image analysis

  3. Multiscale representation and object-based classification

    1. Front Matter
      Pages 111-111
    2. P.R. Marpu, I. Niemeyer, S. Nussbaum, R. Gloaguen
      Pages 169-184
    3. I. Niemeyer, P.R. Marpu, S. Nussbaum
      Pages 185-201
    4. A. Tzotsos, C. Iosifidis, D. Argialas
      Pages 221-236
  4. Automated classification, mapping and updating: forest

  5. Automated classification, mapping and updating: environmental resource management and agriculture

  6. Automated classification, mapping and updating: land use / land cover

  7. Automated classification, mapping and updating: urban applications

  8. Development of new methodologies

  9. Burning research questions, research needs and outlook

    1. Front Matter
      Pages 733-733
    2. M. Ehlers, D. Tomowski
      Pages 735-754

About this book

Introduction

Advances in earth observations sensors and GIScience have led to the emerging fields of Object-based Image Analysis (OBIA). The need for timely and accurate geo-spatial information is steadily increasing. This book discusses means, technologies and approaches related to the processing and analysis of multi-sensor, multi-resolution data with a focus on the generation, modelling and classification of objects. In high resolution images these objects are typically derived through regionalisation principles. The advancement of feature recognition and advanced image analysis techniques facilitate the extraction of thematic information for policy making support and informed decisions. The applications also address the integration of Geographic Information and the concurrent developments of GIScience and vanquish limitations of pixelwise image processing by exploiting image information context-driven and "intelligently".

Keywords

Change detection GIS Geoinformationssysteme IKONOS Monitoring Object-based image analysis classification digital elevation model ecosystem geoinformatics image analysis image processing remote sensing satellite vegetation

Editors and affiliations

  • Thomas Blaschke
    • 1
  • Stefan Lang
    • 2
  • Geoffrey J. Hay
    • 3
  1. 1.Universität Salzburg Zentrum für Geoinformatik5020 SalzburgAustria
  2. 2.Universität Salzburg Zentrum für Geoinformatik5020 SalzburgAustria
  3. 3.Foothills Facility for Remote Sensing & GIScienceUniversity of CalgaryCalgary T2N 1N4Canada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-77058-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-540-77057-2
  • Online ISBN 978-3-540-77058-9
  • Series Print ISSN 1863-2246
  • Buy this book on publisher's site
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