Title:
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Fuzzy cognitive maps applied to synthetic aperture radar image classifications
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Author:
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Pajares Martinsanz, Gonzalo; Sánchez Lladó, Francisco Javier; López Martínez, Carlos
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Adquisició i detecció del senyal -Cognitive maps (Telecommunications) -Polarimetric SAR -Wishart distribution -Mapes cognitius -PolSAR |
Rights:
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Document type:
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Article - Published version Conference Object |
Published by:
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Springer Verlag
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