期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B7
页码：1263-1267
出版社：Copernicus Publications
摘要：We propose a new way to initialize the mass function of the Dempster-Shafer theory of evidence. The new initialization process is based on a fuzzy statistical approach and uses the FSEM algorithm (Fuzzy Statis- tical Estimation Maximization). This allows to classify image in "pure" and "fuzzy" regions, and thus enable an optimal estimation of the inaccuracy and uncertainty of the classification. We apply our new evidential reasoning approach for the fusion of a Landsat multispectral image with vegetation indices and a digital elevation mode
