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- W134072209 abstract "This paper proposes a method based on Fuzzy Cognitive Maps (FCM) for improving the classification provided by the Wishart maximumlikelihood 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." @default.
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- W134072209 date "2011-01-01" @default.
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- W134072209 title "Fuzzy Cognitive Maps Applied to Synthetic Aperture Radar Image Classifications" @default.
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- W134072209 doi "https://doi.org/10.1007/978-3-642-23687-7_10" @default.
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