Add to ORKGInternational audienceIn this paper, we analyze information theory measures in polarimetric interferometric SAR images (PolInSAR) that follow 6-dimensionalGaussian probability density function (PDF). The Shannon entropy is on PolInSAR images the sum of 3 contributions : intensity, polarimetry and interferometry. It enables to determine polarimetric and interferometric intraclass properties of different regions of an image. We then consider the Bhattacharyya distance, a contrast measure between neighbour regions, and show that it is the sum of three contrast terms of intensity, polarimetry and interferometry
In the last two decades, the use of synthetic aperture radar (SAR) for remote sensing purposes has s...
International audienceIn this article, we propose an efficient heterogeneous change detection algori...
Remotely sensed data are essential for understanding environmental dynamics, for their forecasting, ...
Abstract—Images obtained from coherent illumination pro-cesses are contaminated with speckle noise, ...
© 1980-2012 IEEE. Images obtained from coherent illumination processes are contaminated with speckle...
International audienceMost of the applications of SAR polarimetry such as classification are based o...
Polarimetric data of distributed scatterer can be fully characterised by the (3 × 3) Hermitian posit...
AbstractThe polarimetric interferometry synthetic aperture radar (SAR) imaging not only can obtain s...
In this thesis, an analysis of the various parameters derivable from polarimetric SAR measurements i...
To effectively test the scene heterogeneity for polarimetric synthetic aperture radar (PolSAR) data,...
International audienceWe show in this paper that PolInSAR images can be efficiently partitioned into...
Polarimetric SAR can observe scattering matrix for each resolution cell and provide amplitude images...
International audienceThis paper proposes a new method for a measure of coherent similarity between ...
This lecture is mainly based on the work of S.R. Cloude and presents examples for remote sensing app...
International audienceIn this paper, a new method to filter coherency matrices of polarimetric or in...
In the last two decades, the use of synthetic aperture radar (SAR) for remote sensing purposes has s...
International audienceIn this article, we propose an efficient heterogeneous change detection algori...
Remotely sensed data are essential for understanding environmental dynamics, for their forecasting, ...
Abstract—Images obtained from coherent illumination pro-cesses are contaminated with speckle noise, ...
© 1980-2012 IEEE. Images obtained from coherent illumination processes are contaminated with speckle...
International audienceMost of the applications of SAR polarimetry such as classification are based o...
Polarimetric data of distributed scatterer can be fully characterised by the (3 × 3) Hermitian posit...
AbstractThe polarimetric interferometry synthetic aperture radar (SAR) imaging not only can obtain s...
In this thesis, an analysis of the various parameters derivable from polarimetric SAR measurements i...
To effectively test the scene heterogeneity for polarimetric synthetic aperture radar (PolSAR) data,...
International audienceWe show in this paper that PolInSAR images can be efficiently partitioned into...
Polarimetric SAR can observe scattering matrix for each resolution cell and provide amplitude images...
International audienceThis paper proposes a new method for a measure of coherent similarity between ...
This lecture is mainly based on the work of S.R. Cloude and presents examples for remote sensing app...
International audienceIn this paper, a new method to filter coherency matrices of polarimetric or in...
In the last two decades, the use of synthetic aperture radar (SAR) for remote sensing purposes has s...
International audienceIn this article, we propose an efficient heterogeneous change detection algori...
Remotely sensed data are essential for understanding environmental dynamics, for their forecasting, ...