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Fuzzy segmentation and structural knowledge for satellite image analysis

  • Wendling L. 
  • Zehana M. 
  • Desachy J. 
Miscellaneous Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 974)

Abstract

We present a segmentation method using fuzzy sets theory applied to remote sensing image interpretation. We have developed a fuzzy segmentation system in order to take into account complex spatial knowledge involving topologic attributes and also relative position of searched areas in membership degrees images. A membership degrees image represents the membership degrees of each pixel to a given class and is supposed obtained by a previous classification (involving simple contextual knowledge). To improve this previous classification, we introduce structural rules which allow us to manage with region characteristics. These structural characteristics are obtained by using a fuzzy segmentation technique.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Wendling L. 
    • 1
  • Zehana M. 
    • 1
  • Desachy J. 
    • 1
  1. 1.IRIT -UPSToulouse

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