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A Four-Component Decomposition Model for PolSAR Data Using Asymmetric Scattering Component

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PROJECT TITLE :

A Four-Component Decomposition Model for PolSAR Data Using Asymmetric Scattering Component

ABSTRACT:

This paper describes a polarimetric information extraction technique using PolSAR information. The proposed methodology is based on the covariance matrix and intended to be applicable to the overall nonreflection symmetric scattering case that the copolar and cross-polar correlations are not shut to zero. Uneven scattering term, which can entirely represent the uneven information of PolSAR data, is proposed to explain the nonreflection symmetric scattering caused by complicated shape targets or man-created structures in urban areas. Using this asymmetric scattering term, along with surface, double-bounce, and volume scattering terms, the new four-component scattering power decomposition technique is then proposed, that can totally utilize all the parameters contained in the PolSAR data. It is found that asymmetric scattering is predominant in urban areas and close to zero in natural distributed areas. Although designed for nonreflection symmetric scattering case, the decomposition method will also cope with the reflection symmetry case, since it automatically becomes Freeman 3-element decomposition technique in natural areas. The E-SAR L-band full-polarized knowledge acquired over Oberpfaffenhofen space in Germany and also the CONVAIR-SAR C-band data acquired over Ottawa space in Canada are applied to validate the proposed decomposition methodology. The results of the experiments show that the proposed methodology has higher performance than the four-part decomposition model in distinguishing totally different types of terrains.


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A Four-Component Decomposition Model for PolSAR Data Using Asymmetric Scattering Component - 4.8 out of 5 based on 72 votes

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