This study proposes the spectrum analysis of the scattering-type parameter, $\theta_{\text{FP}}$, to characterize different land cover targets. Many orthonormal projections of the scattering information onto distinct polarization bases have been proposed in the literature. However, these conventional orthonormal basis projection techniques often provide various target characterization ambiguities and classification. In this work, we propose projecting the target coherency matrix onto several random realizations of the normalized scattering configuration without restriction to the orthogonality constraint. This unique approach helps enhanced target characterization from polarimetric SAR data. \textcolor{black}{We show the efficacy of our pro...
Abstract—This paper presents a new unsupervised land cover/ land use classification scheme using pol...
The polarimetric synthetic aperture radar (PolSAR) system emits microwaves on two orthogonal polariz...
This correspondence proposes a generic framework for land-cover classification using support vector ...
Several orthonormal projections onto various bases have been proposed to analyze Polarimetric Synthe...
In radar polarimetry, having an invariant target characterization parameter is critical because it c...
The polarization transformation properties of radar target characterize the radar scattering phenome...
Target decomposition methods for polarimetric Synthetic Aperture Radar (PolSAR) data aim at explaini...
Abstract: The estimation of geophysical parameters, as surface roughness, soil moisture... is often...
Abstract—In this paper, a statistical approach to evaluate randomly rough surfaces (RRS) in an inver...
Target decomposition methods of polarimetric Synthetic Aperture Radar (PolSAR) data explain scatteri...
Most applications of radar imagery require processing techniques which achieve one fundamental goal:...
Polarimetric similarity is a parameter for measuring the similarity between two scattering mechanism...
The use of polarimetric Synthetic Aperture Radar (PolSAR) has the capability to improve detection an...
International audienceExtracting information from a polarimetric radar representation usually consis...
International audiencePolarimetric features of PolSAR images include inherent scattering mechanisms ...
Abstract—This paper presents a new unsupervised land cover/ land use classification scheme using pol...
The polarimetric synthetic aperture radar (PolSAR) system emits microwaves on two orthogonal polariz...
This correspondence proposes a generic framework for land-cover classification using support vector ...
Several orthonormal projections onto various bases have been proposed to analyze Polarimetric Synthe...
In radar polarimetry, having an invariant target characterization parameter is critical because it c...
The polarization transformation properties of radar target characterize the radar scattering phenome...
Target decomposition methods for polarimetric Synthetic Aperture Radar (PolSAR) data aim at explaini...
Abstract: The estimation of geophysical parameters, as surface roughness, soil moisture... is often...
Abstract—In this paper, a statistical approach to evaluate randomly rough surfaces (RRS) in an inver...
Target decomposition methods of polarimetric Synthetic Aperture Radar (PolSAR) data explain scatteri...
Most applications of radar imagery require processing techniques which achieve one fundamental goal:...
Polarimetric similarity is a parameter for measuring the similarity between two scattering mechanism...
The use of polarimetric Synthetic Aperture Radar (PolSAR) has the capability to improve detection an...
International audienceExtracting information from a polarimetric radar representation usually consis...
International audiencePolarimetric features of PolSAR images include inherent scattering mechanisms ...
Abstract—This paper presents a new unsupervised land cover/ land use classification scheme using pol...
The polarimetric synthetic aperture radar (PolSAR) system emits microwaves on two orthogonal polariz...
This correspondence proposes a generic framework for land-cover classification using support vector ...