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About the Automatic Detection of Training Sets for Multispectral Images Classification

  • V. Bertholet
  • J. P. Rasson
  • S. Lissoir
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In images’ discriminant analysis, training sets are usually given by experts of the field of interest. A procedure is proposed in this paper to avoid such a resort to experts. Two steps are required to achieve this scheme. Firstly, thanks to a multivariate and nonparametric approach of supports comparison, some homogeneous areas are detected on the image. Secondly, building a similarity measure based on the same criterion, those so found areas are merged into a small number of classes. Afterwards, these classes can be used as training sets for any discriminant analysis procedure.

Key words

training sets images support comparison discriminant analysis homogeneous areas experts 

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1998

Authors and Affiliations

  • V. Bertholet
    • 1
  • J. P. Rasson
    • 1
  • S. Lissoir
    • 1
  1. 1.Département de MathématiqueFacultés Universitaires Notre-Dame de la PaixNamurBelgique

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