Multisource clustering of remote sensing images with Entropy-based Dempster-Shafer fusion

Autor: Ranoeliarivao, S., Morsier, F., Devis Tuia, Rakotoniaina, S., Borgeaud, M., Thiran, J. -Ph, Rakotondraompiana, S.

Publikováno v: Scopus-Elsevier
2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013. European Signal Processing Conference, EUSIPCO
2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013

In this paper, we propose a strategy for fusing clustering maps obtained with different remote sensing sources. Dempster- Shafer (DS) Theory is a powerful fusion method that allows to combine classifications from different sources and handles ignoran

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