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A new region based classifier for polarimetric synthetic aperture radar data (PolSAR) was tested to evaluate its potential to discriminate different types of oil slicks at sea surface. This classifier uses a supervised approach to compare stochastic distances between complex Wishart distributions and hypothesis tests to associate confidence levels to the classification results. The preliminary results...
<?Pub Dtl?>A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its input consists of segments, and each one is assigned the class which minimizes a stochastic distance. Assuming the complex Wishart model, several stochastic distances are obtained from the family of divergences, and they are employed to derive hypothesis test statistics that are...
Given the different nature of optical and radar data, it is reasonable the idea that each type of data can contribute in complementary ways for different applications. This paper aims at analyzing the potential joint usage of optical and Synthetic Aperture Radar (SAR) data for land use and land cover classification in a region located in the Brazilian Amazon. To achieve this objective, we evaluated...
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