Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Processing

Gabriel Vasile (1) , Frédéric Pascal (2) , Jean-Philippe Ovarlez (3) , Pierre Formont (2)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay (COmUE)
3 ONERA - The French Aerospace Lab [Toulouse]

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Gabriel Vasile, Frédéric Pascal, Jean-Philippe Ovarlez, Pierre Formont. Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Processing. IGARSS 2011 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2011, Vancouver, Canada. pp.3744-3747, ⟨10.1109/IGARSS.2011.6050039⟩. ⟨hal-00638874⟩