• DocumentCode
    3577251
  • Title

    Fuzzy statistical classification method for multiband image fusion

  • Author

    Germain, M. ; Voorons, M. ; Boucher, J.-M. ; Benie, G.B.

  • Author_Institution
    Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
  • Volume
    1
  • fYear
    2002
  • Firstpage
    178
  • Abstract
    We propose a new fusion algorithm based on the Dempster-Shafer theory of evidence. The main interest of this method is a new distribution of mass functions. Generally the methods used are the mass consonant distribution and the partially mass consonant distribution. The originality of this work is to define uncertain and inaccurate data by using a fuzzy statistical classification algorithm such as FSEM (Fuzzy Stochastic Estimation Maximization). Application to multiband image fusion produces interesting results for classification.
  • Keywords
    fuzzy logic; image processing; sensor fusion; Fuzzy Stochastic Estimation Maximization; fusion algorithm; fuzzy statistical classification algorithm; fuzzy statistical classification method; multiband image fusion; partially mass consonant distribution; Bayesian methods; Classification algorithms; Distribution functions; Fuzzy reasoning; Image fusion; Pixel; Remote sensing; Statistical analysis; Stochastic processes; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2002. Proceedings of the Fifth International Conference on
  • Print_ISBN
    0-9721844-1-4
  • Type

    conf

  • DOI
    10.1109/ICIF.2002.1021148
  • Filename
    1021148