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 h-φ family of divergences, and they are employed to derive hypothesis test statistics that are also used in the classification process. This article also presents, as a novelty, analytic expressions for the test statistics based on the following stochastic distances between complex Wishart models: Kullback-Leibler, Bhattacharyya, Hellinger, Rényi, and Chi-Square; also, the test statistic based on the Bhattacharyya distance between multivariate Gaussian distri...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
International audiencePolarimetry has been studied for many years in SAR. Due to the enormous quanti...
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Syn...
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Region-based classification ...
A new edge detection methodology in PolSAR images is proposed, which is based on stochastic distance...
Abstract—The scaled complex Wishart distribution is a widely used model for multilook full polarimet...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
International audienceIn this article, we propose an efficient heterogeneous change detection algori...
International audienceThis paper presents a general approach for high-resolution polarimetric SAR da...
To effectively test the scene heterogeneity for polarimetric synthetic aperture radar (PolSAR) data,...
This paper presents our automatic image segmenta-tion method for Polarimetric SAR data [1] with rece...
In this paper, two polarimetric segmentation techniques for polarimetric SAR images are compared. Th...
A clustering method that combines an advanced statis-tical distribution with spatial contextual info...
Polarimetry has been studied for many years in SAR. Due to the enormous quantity of SAR images acqui...
Polarimetric Synthetic Aperture Radar (POLSAR) data have been commercially available for the last fe...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
International audiencePolarimetry has been studied for many years in SAR. Due to the enormous quanti...
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Syn...
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. Region-based classification ...
A new edge detection methodology in PolSAR images is proposed, which is based on stochastic distance...
Abstract—The scaled complex Wishart distribution is a widely used model for multilook full polarimet...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
International audienceIn this article, we propose an efficient heterogeneous change detection algori...
International audienceThis paper presents a general approach for high-resolution polarimetric SAR da...
To effectively test the scene heterogeneity for polarimetric synthetic aperture radar (PolSAR) data,...
This paper presents our automatic image segmenta-tion method for Polarimetric SAR data [1] with rece...
In this paper, two polarimetric segmentation techniques for polarimetric SAR images are compared. Th...
A clustering method that combines an advanced statis-tical distribution with spatial contextual info...
Polarimetry has been studied for many years in SAR. Due to the enormous quantity of SAR images acqui...
Polarimetric Synthetic Aperture Radar (POLSAR) data have been commercially available for the last fe...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
International audiencePolarimetry has been studied for many years in SAR. Due to the enormous quanti...
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Syn...