The paper addresses the filtering of Polarimetry Syn-thetic Aperture Radar (PolSAR) images. The filtering strat-egy is based on a regularizing cost function associated with matrix norms called the Schatten p-norms. These norms apply on matrix singular values. The proposed approach is illustrated upon scattering and coherency matrices on RADARSAT-2 PolSAR images over the Chamonix Mont-Blanc site. Several p values of Schatten p-norms are sur-veyed and their capabilities on filtering PolSAR images is provided in comparison with conventional strategies for fil-tering PolSAR data
This paper introduces a non-linear Polarimetric SAR data filtering approach able to preserve the edg...
In this letter, we investigate an application of a generalized polar decomposition of the Mueller ma...
Remote sensing data, and radar data in particular, have become an essential tool for enviromental st...
International audienceThe paper addresses the filtering of Polarimetry Synthetic Aperture Radar (Pol...
Invited Session: Advanced Methods for Polarimetric Information ExtractionInternational audienceThe p...
International audienceThe polarimetric features of PolSAR images includes the inherent scattering me...
The polarimetric observables in a SAR image possess an intrinsic physical information, what makes po...
Radar polarimetry (the full utilization of EM vector wave information) has become an indispensable t...
The use of the l2-norms of the scattering vectors is suggested to texture analysis of PolSAR data, w...
International audiencePolarimetric features of PolSAR images include inherent scattering mechanisms ...
International audienceIn this paper, a new method to estimate polarimetric coherency matrices and de...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This paper introduces a non-linear Polarimetric SAR data filtering approach able to preserve the edg...
Polarimetric focusing techniques for synthetic aperture radar (SAR) tomography (TomoSAR) pursue find...
This paper introduces a non-linear Polarimetric SAR data filtering approach able to preserve the edg...
In this letter, we investigate an application of a generalized polar decomposition of the Mueller ma...
Remote sensing data, and radar data in particular, have become an essential tool for enviromental st...
International audienceThe paper addresses the filtering of Polarimetry Synthetic Aperture Radar (Pol...
Invited Session: Advanced Methods for Polarimetric Information ExtractionInternational audienceThe p...
International audienceThe polarimetric features of PolSAR images includes the inherent scattering me...
The polarimetric observables in a SAR image possess an intrinsic physical information, what makes po...
Radar polarimetry (the full utilization of EM vector wave information) has become an indispensable t...
The use of the l2-norms of the scattering vectors is suggested to texture analysis of PolSAR data, w...
International audiencePolarimetric features of PolSAR images include inherent scattering mechanisms ...
International audienceIn this paper, a new method to estimate polarimetric coherency matrices and de...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This paper introduces a non-linear Polarimetric SAR data filtering approach able to preserve the edg...
Polarimetric focusing techniques for synthetic aperture radar (SAR) tomography (TomoSAR) pursue find...
This paper introduces a non-linear Polarimetric SAR data filtering approach able to preserve the edg...
In this letter, we investigate an application of a generalized polar decomposition of the Mueller ma...
Remote sensing data, and radar data in particular, have become an essential tool for enviromental st...