  In this paper, we present some results of evidential reasoning in
understanding multispectral images of remote sensing systems. The
Dempster-Shafer approach of combination of evidences is pursued to yield
contextual classification results, which are compared with previous results of
the Bayesian context free classification, contextual classifications of dynamic
programming and stochastic relaxation approaches.
