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Exemplifying the theory of evidence in remote sensing image classification

Zervakis Michalis, P.Mertikas

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URI: http://purl.tuc.gr/dl/dias/E4EB0529-16DB-4934-8EE8-E28F83CA44FC
Year 2001
Type of Item Peer-Reviewed Journal Publication
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Bibliographic Citation P. Mertikas, M.E. Zervakis," Exemplifying the theory of evidence in remote sensing image classification ," Intern. J. of Remote Sensing,vol.22,no. 6,pp. 1081-1095,2001.doi:10.1080/01431160118597 https://doi.org/10.1080/01431160118597
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Summary

This article introduces the mathematical theory of evidence in classifying remote sensing images. Its main intent is to introduce the less familiar concepts of belief functions in image classification. The belief function can be considered as a generalisation of the classical Bayes probability function that includes, however, a way to assess the strength of evidence. To illustrate the theory of evidence, seven examples are given.

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