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Title: Fully polsar image classification using a diffusion-reaction system enhanced with morphological filtering
Authors: Gomez, Luis 
Alvarez, Luis 
Mazorra, Luis 
Frery, Alejandro C. 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Issue Date: 2016
Publisher: 2197-4403
Journal: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR 
Conference: 11th European Conference on Synthetic Aperture Radar, EUSAR 2016 
Abstract: Accurate image classification of Fully PolSAR (Polarimetric Synthetic Aperture Radar) images is of maximum interest in monitoring remote sensing data. Such classification is a difficult task because of the presence of speckle. Diffusion-reaction systems (DRS) using stochastic distances have been recently applied to successfully despeckling and classifying PolSAR images. In this work we show that better results are obtained by including an iterative morphological schema coupled to the DRS. Experimental results illustrate that the proposed approach significantly improves the visual quality and classification measures of quality of the outcomes.
ISSN: 2197-4403
Source: 11Th European Conference On Synthetic Aperture Radar (Eusar 2016) [ISSN 2197-4403], p. 1104-1107, (2016)
Appears in Collections:Actas de congresos
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