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Identification of landcover using the modified four-component scattering power decomposition

Boularbah Souissi(1), mounira Ouarzeddine(1) and Aichouche Belhadj-Aissa(1)

(1) USTHB, BP N°32 El Alia 16111, Bab Ezzouar, Alger, 16111, Algeria


Polarimetric classification is one of the most significant applications of polarimetric synthetic aperture radar (PolSAR) in remote sensing. During the last decade, several research tasks revealed the contribution of polarimetric data in soil types and land cover classification. They contributed thus to a better comprehension of the scattering mechanisms and target identification. In this paper, we aim to identify and analyze earth terrain covers using a recent approach which is the modified four-component scattering power decomposition derived from the coherency matrix. It is the extension of the Freeman-Durden decomposition which is based on three components model: surface, double bounce and volume scattering. This new method added an asymmetric component represented by the helix scatterer as a fourth component for describing man-made targets in the urban area scattering and it has been developed to deal with the reflection and nonreflection symmetry. The first point of this paper is to show the modification and the theoretical expansion for the covariance matrix of the nonsymmetry case. Secondly, four images have been generated corresponding to the four components of the new approach represented by: surface, double bounce, volume and helix scatterers. The results show the useful of using this approach for general scattering case for man-made (nonreflection symmetric case) and natural targets (reflection symmetric case) identification. The SAR images used are acquired using fully polarimetric radar.


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  Higher level                 Last modified: 07.05.06