Add to ORKGIn this paper we demonstrate that simple yet flexible mod-elling of multilook polarimetric synthetic aperture radar (PolSAR) data can be obtained through a relaxation of the Wishart model. The degrees of freedom of the complex Wishart distribution is treated as a spatially nonstation-ary parameter, which is allowed to vary between thematic classes and segments of the PolSAR scene. Key words: synthetic aperture radar; polarimetry; statis-tical modelling; Wishart distribution. 1
iAbstract This thesis discusses a statistical modelling technique to analyse polarimet-ric synthetic...
Knowledge of the exact statistical properties of the signal plays an important role in the applicati...
Abstract—This paper proposes improved methods for the maximum likelihood (ML) estimation of the equi...
In this paper we demonstrate that simple yet exible mod-elling of multilook polarimetric synthetic a...
This paper investigates the parameter estimation of compound Wishart distribution for statistical mo...
In this paper, we present an unsupervised change detection method for polarimetric synthetic apertur...
A clustering method that combines an advanced statis-tical distribution with spatial contextual info...
This paper addresses the unsupervised classification problems for multilook Polarimetric synthetic a...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
classier derived from a non-Gaussian model for polarimetric synthetic aperture radar (POLSAR) data. ...
Abstract—The scaled complex Wishart distribution is a widely used model for multilook full polarimet...
Polarimetric synthetic aperture radar (PolSAR) systems are an important remote sensing tool. Such sy...
A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its in...
Relatively total variation (RTV) algorithm, which can effectively decompose structure information an...
Knowledge of the exact statistical properties of the signal plays an important role in the applicati...
iAbstract This thesis discusses a statistical modelling technique to analyse polarimet-ric synthetic...
Knowledge of the exact statistical properties of the signal plays an important role in the applicati...
Abstract—This paper proposes improved methods for the maximum likelihood (ML) estimation of the equi...
In this paper we demonstrate that simple yet exible mod-elling of multilook polarimetric synthetic a...
This paper investigates the parameter estimation of compound Wishart distribution for statistical mo...
In this paper, we present an unsupervised change detection method for polarimetric synthetic apertur...
A clustering method that combines an advanced statis-tical distribution with spatial contextual info...
This paper addresses the unsupervised classification problems for multilook Polarimetric synthetic a...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
classier derived from a non-Gaussian model for polarimetric synthetic aperture radar (POLSAR) data. ...
Abstract—The scaled complex Wishart distribution is a widely used model for multilook full polarimet...
Polarimetric synthetic aperture radar (PolSAR) systems are an important remote sensing tool. Such sy...
A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its in...
Relatively total variation (RTV) algorithm, which can effectively decompose structure information an...
Knowledge of the exact statistical properties of the signal plays an important role in the applicati...
iAbstract This thesis discusses a statistical modelling technique to analyse polarimet-ric synthetic...
Knowledge of the exact statistical properties of the signal plays an important role in the applicati...
Abstract—This paper proposes improved methods for the maximum likelihood (ML) estimation of the equi...