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Polsar region classifier based on stochastic distances and hypothesis tests
2012
2012 IEEE International Geoscience and Remote Sensing Symposium
This work presents a region based classifier for Polarimetric SAR (PolSAR) images. The classifier uses the stochastic distances derived from the complex Wishart Model, obtained from the h-φ family of divergences. Adittionaly, a hypothesis test derived from the stochastic distance is also employed in the classification process. The region based classifier, using the Bhattacharyya distance, was applied to a polarimetric SIR-C image from an agricultural area in northeastern Brazil. The region
doi:10.1109/igarss.2012.6351256
dblp:conf/igarss/SilvaFSF12
fatcat:bfqtnlx7jve2jiaooa3hueu3ve