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Analysis and segmentation of remote-sensing images for land-cover mapping

  • P. C. Smits
  • S. B. Serpico
Special Session on European Projects
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

In the framework of the European Community programme Training and Mobility for Researchers, the project Analysis and Segmentation of Remote-Sensing Images for Land-Cover mapping has been proposed and approved. This article provides some insight in the role of pattern recognition and image processing techniques in the European remote-sensing community and gives and overview of the project's objectives and results to date.

Keywords

Synthetic Aperture Radar Markov Random Field Synthetic Aperture Radar Image Synthetic Aperture Radar Data Markov Random 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • P. C. Smits
    • 1
  • S. B. Serpico
    • 1
  1. 1.Department of Biophysical and Electronic EngineeringUniversity of GenoaGenovaItaly

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