Abstract. This paper presents a system for the statistical classification of multilook p o-larimetric SAR images. The methods used are the pointwise Maximum Likelihood (ML), as initial solution, and the contextual ICM ( Iterated Conditional Modes) algorithm. The mu l-tilook SAR data are modelled from the multivariate complex Wishart distribution, and the densities for several important transformations are derived. The system is user-friendly, since it is based upon interactive graphic user interfaces. With this approach, the statistical modelling is hidden to the user. Examples of classifications of SIR-C/X-SAR images is presented
Recent interest in dual-pol SAR systems has lead to a novel approach, the so-called compact polarime...
A statistical image model is proposed for segmenting polarimetric synthetic aperture radar (SAR) dat...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
The multilook polarimetric maximum likelihood classifier based on the Wishart distribution supposes ...
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...
Using the context as a source of ancillary information in classification process provides a powerful...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
International audienceThis paper presents a general approach for high-resolution polarimetric SAR da...
iAbstract This thesis discusses a statistical modelling technique to analyse polarimet-ric synthetic...
En este artículo se presenta un sistema para la clasificación de imágenes SAR polarimétricas. Este s...
AbstractA novel classification method based on 2-frequency pol-SAR images is proposed in this paper....
Special issue on advances in multidimensional synthetic aperture radar signal processingInternationa...
This letter proposes a polarimetric synthetic aperture radar image classification method based on th...
This paper presents our automatic image segmenta-tion method for Polarimetric SAR data [1] with rece...
Recent interest in dual-pol SAR systems has lead to a novel approach, the so-called compact polarime...
A statistical image model is proposed for segmenting polarimetric synthetic aperture radar (SAR) dat...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
The multilook polarimetric maximum likelihood classifier based on the Wishart distribution supposes ...
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...
Using the context as a source of ancillary information in classification process provides a powerful...
A clustering method that combines an advanced statistical distribution with spatial contextual infor...
International audienceThis paper presents a general approach for high-resolution polarimetric SAR da...
iAbstract This thesis discusses a statistical modelling technique to analyse polarimet-ric synthetic...
En este artículo se presenta un sistema para la clasificación de imágenes SAR polarimétricas. Este s...
AbstractA novel classification method based on 2-frequency pol-SAR images is proposed in this paper....
Special issue on advances in multidimensional synthetic aperture radar signal processingInternationa...
This letter proposes a polarimetric synthetic aperture radar image classification method based on th...
This paper presents our automatic image segmenta-tion method for Polarimetric SAR data [1] with rece...
Recent interest in dual-pol SAR systems has lead to a novel approach, the so-called compact polarime...
A statistical image model is proposed for segmenting polarimetric synthetic aperture radar (SAR) dat...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...