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
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;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1021148