  Design of a fuzzy rule based classifier is proposed. The performance of the
classifier for multispectral satellite image classification is improved using
Dempster- Shafer theory of evidence that exploits information of the
neighboring pixels. The classifiers are tested rigorously with two known images
and their performance are found to be better than the results available in the
literature. We also demonstrate the improvement of performance while using D-S
theory along with fuzzy rule based classifiers over the basic fuzzy rule based
classifiers for all the test cases.
