This Letter presents a technique for integrating diverse sources of evidence about pixel or segment classification using the belief function approach of the Dempster-Shafer theory of evidential reasoning. A description of the algorithm is provided and a case study is given to illustrate the potential of the method for combining output from image classifiers, geographic information systems and expert system rules concerning geographic context.
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Wilkinson et al. (1990) studied this question.
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