Change detection by new DSmT decision rule and ICM with constraints: Application to Argan land cover

The objective of this work is, in the first place, the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmP transformation to overcome the inherent limitations of the decision rules thus use the maximum of generalized belief functions. The approach is evaluated on two LANDSAT ETM+ images, the results are promising.

[1]  S. Chitroub,et al.  COMBINAISON DE CLASSIFIEURS : UNE APPROCHE POUR L'AMÉLIORATION DE LA CLASSIFICATION D'IMAGES MULTISOURCES/MULTIDATES DE TÉLÉDÉTECTION , 2004 .

[2]  Jean-Marc Boucher,et al.  Multisource classification using ICM and Dempster-Shafer theory , 2002, IEEE Trans. Instrum. Meas..

[3]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[4]  Florentin Smarandache,et al.  Advances and Applications of DSmT for Information Fusion (Collected Works) , 2004 .

[5]  Arnaud Martin.  Fusion de classifieurs pour la classification d'images sonar , 2005, EGC.

[6]  Jean Dezert,et al.  Applications and Advances of DSmT for Information Fusion , 2004 .

[7]  Jean Dezert,et al.  An Introduction to the DSm Theory for the Combination of Paradoxical, Uncertain, and Imprecise Sources of Information , 2006, ArXiv.

[8]  Richard A. Fournier,et al.  Application of evidential reasoning to improve the mapping of regenerating forest stands , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[9]  Pascal Djiknavorian.  Fusion d'informations dans un cadre de raisonnement de Dezert-Smarandache appliquée sur des rapports de capteurs ESM sous le STANAG 1241 , 2008 .

[10]  L. Hubert-Moy,et al.  Land cover change prediction with a new theory of plausible and paradoxical reasoning , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[11]  Florentin Smarandache,et al.  Advances and Applications of DSmT for Information Fusion , 2004 .