Generalized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification

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dc.creatorMartin, Arnaud
dc.creatorOsswald, Christophe
dc.date2008-06-12
dc.date.accessioned2026-07-07T12:19:30Z
dc.date.available2026-07-07T12:19:30Z
dc.descriptionIn this chapter, we present two applications in information fusion in order to evaluate the generalized proportional conflict redistribution rule presented in the chapter \cite{Martin06a}. Most of the time the combination rules are evaluated only on simple examples. We study here different combination rules and compare them in terms of decision on real data. Indeed, in real applications, we need a reliable decision and it is the final results that matter. Two applications are presented here: a fusion of human experts opinions on the kind of underwater sediments depict on sonar image and a classifier fusion for radar targets recognition.
dc.identifierhttps://arxiv.org/abs/0806.2008
dc.identifierhttp://arxiv.org/abs/0806.2008
dc.identifierAdvances and Applications of DSmT for Information Fusion, Florentin Smarandache & Jean Dezert (Ed.) (2006) 289-304
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212774
dc.subjectComputer Vision and Pattern Recognition
dc.subjectArtificial Intelligence
dc.subjectI.4; I.5
dc.titleGeneralized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification
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