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This paper presents a Polarimetric SAR data speckle filtering
technique, based on a combined filtering in the spatial and polarimetric
domains. It is based on a bilateral filtering employing
distance measures over these domains. These measures
concentrate all the information related to the domain structure
that is needed for an adaptation to the scene morphology.
A weighted average is performed over a given window favoring
closer and similar pixels. As a consequence, an adaptive
filtering is achieved, attaining higher filtering over homogeneous
areas whereas point scatters remain almost unchanged.
Results will be shown over a real RADARSAT-2 data.
CitationAlonso, A.; Lopez, C.; Salembier, P. Variable local weight filtering for PolSAR data speckle noise reduction. A: IEEE International Geoscience and Remote Sensing Symposium. "Proceedings IGARSS - International Geoscience and Remote Sensing Symposium". Munich: IEEE, 2012, p. 2133-2136.
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