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Communication Dans Un Congrès Année : 2011

Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Parameter Estimation

Résumé

This paper presents a new estimation scheme for optimally deriving clutter parameters with high resolution POLSAR data. The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model. Three parameters are introduced for the high resolution POLSAR data clutter: the span, the normalized texture and the speckle normalized covariance matrix. The asymptotic distribution of the novel span estimator is investigated. A novel heterogeneity test for the POLSAR clutter is also discussed. The proposed method is tested with airborne POLSAR images provided by the ONERA RAMSES system.
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Dates et versions

hal-00561143 , version 1 (31-01-2011)

Identifiants

  • HAL Id : hal-00561143 , version 1

Citer

Gabriel Vasile, Frédéric Pascal, Jean-Philippe Ovarlez. Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Parameter Estimation. POLinSAR 2011 - 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Jan 2011, Frascati, Italy. 6 p. ⟨hal-00561143⟩
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