Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/E4EB0529-16DB-4934-8EE8-E28F83CA44FC | - |
| Identifier | https://doi.org/10.1080/01431160118597 | - |
| Language | en | - |
| Extent | 15 pages | en |
| Title | Exemplifying the theory of evidence in remote sensing image classification | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | P.Mertikas | en |
| Publisher | Taylor & Francis | en |
| Content 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. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-23 | - |
| Date of Publication | 2001 | - |
| Subject | Sensing images | en |
| 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 | en |
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