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Fuzzy cognitive maps applied to synthetic aperture radar image classifications
Pajares Martinsanz, Gonzalo; Sánchez Lladó, Francisco Javier; López Martínez, Carlos
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
This paper proposes a method based on Fuzzy Cognitive Maps (FCM) for improving the classification provided by the Wishart maximum-likelihood based approach in Synthetic Aperture Radar (SAR) images. FCM receives the classification results provided by the Wishart approach and creates a network of nodes associating a pixel to a node. The activation levels of these nodes define the degree of membeship of each pixel to each class. These activations levels are iteratively reinforced or punished based on the existing relations among each node and its neighbours and also taking into account the own node under consideration. Through a quality coefficient we measure the performance of the proposed approach with respect to the Wishart classifier.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Processament del senyal::Adquisició i detecció del senyal
Cognitive maps (Telecommunications)
Polarimetric SAR
Wishart distribution
Mapes cognitius
PolSAR
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Springer Verlag
         

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