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Neurocomputation in Remote Sensing Data Analysis

Proceedings of Concerted Action COMPARES (Connectionist Methods for Pre-Processing and Analysis of Remote Sensing Data)

  • Ioannis Kanellopoulos
  • Graeme G. Wilkinson
  • Fabio Roli
  • James Austin

Table of contents

  1. Front Matter
    Pages i-ix
  2. Ioannis Kanellopoulos, Graeme G. Wilkinson, Fabio Roli, James Austin
    Pages 1-2
  3. Paul M. Mather, Brandt Tso, Magaly Koch
    Pages 38-46
  4. Vassilis Gaganis, Michael Zervakis, Manolis Christodoulou
    Pages 57-70
  5. Theo E. Schouten, Maurice S. klein Gebbinck
    Pages 79-85
  6. Jean-Pierre Cocquerez, Sylvie Philipp, Philippe Gaussier
    Pages 86-96
  7. Jon A. Benediktsson, Johannes R. Sveinsson
    Pages 97-104
  8. Leopoldo Cortez, Fernando Durão, Vitorino Ramos
    Pages 142-150
  9. X. Clastres, M. Samuelides, G. L. Tarr
    Pages 160-167
  10. M. Proesmans, L. J. Van Gool, P. Vanroose
    Pages 168-175
  11. C. Cruse, S. Leppelmann, A. Burwick, M. Bode
    Pages 176-185
  12. Jens Tidemann, Allan Aasbjerg Nielsen
    Pages 186-193
  13. Horst Bischof, Aleš Leonardis
    Pages 194-201
  14. Paolo Gamba, Andrea Marazzi, Alessandro Mecocci
    Pages 224-231
  15. Graeme G. Wilkinson
    Pages 281-284

About these proceedings

Introduction

Since 1994 the European Commission has been supporting activities under the Environment and Climate programme of research and technological de­ velopment, with the aim of developing cost-effective applications of satellite Earth observation (EO) for both environmental monitoring and research. This action has included support to methodological research, aimed at the development and evaluation of new techniques forming part ofthe chain of processing needed to transform data into useful information. Wherever appropriate, the Commission has emphasised the coordination of ongoing research funded at the national level, through the mechanism of concerted actions. Concerted actions are flexible and efficient means to marshal efforts at the European level for a certain period. They are proposed by groups of researchers active in a given field who have identified the added value to be gained by European cooperation, whilst continuing to pursue their own individual projects. In view of the rapid developments in the field of neural network over the last 10 years, together with the growing interest ofthe Earth observation community in this approach as a tool for data interpretation, the Commission decided in 1995 to support the concerted action COMPARES, following a proposal from a group of acknowledged European experts.

Keywords

Augmented Reality Map Multispectral Image Classification Neural Networks Remote Sensing Satellite Image Processing classification fuzziness image analysis image processing

Editors and affiliations

  • Ioannis Kanellopoulos
    • 1
  • Graeme G. Wilkinson
    • 2
  • Fabio Roli
    • 3
  • James Austin
    • 4
  1. 1.Environmental Mapping and Modelling UnitJoint Research Centre, Commission of the European Communities Space Applications InstituteIspra (Varese)Italy
  2. 2.School of Computer Science and Electronic SystemsKingston UniversityKingston Upon ThamesUK
  3. 3.Electrical and Electronic Engineering DepartmentUniversity of CagliariCagliariItaly
  4. 4.Department of Computer Science Advanced Computer Architecture GroupUniversity of YorkYorkUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-59041-2
  • Copyright Information Springer-Verlag Berlin · Heidelberg 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-63828-2
  • Online ISBN 978-3-642-59041-2
  • Buy this book on publisher's site
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