Stable scatterers detection and tracking in heterogeneous clutter by repeat-pass SAR interferometry

Gabriel Vasile (1) , Jean-Philippe Ovarlez (2) , Frédéric Pascal (3) , Michel Gay (4) , Guy d'Urso (5) , Dider Boldo (6)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 ONERA - The French Aerospace Lab [Toulouse]
3 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay (COmUE)
4 GIPSA-Services - GIPSA-Services
5 EDF - EDF
6 EDF R&D - EDF R&D

This paper presents a new estimation scheme for optimally deriving clutter parameters with high resolution repeat-pass SAR interferometry. The heterogeneous clutter in InSAR data is described by the Spherically Invariant Random Vectors model. Three parameters are introduced for the high resolution InSAR data clutter: the span, the normalized texture and the speckle normalized covariance matrix. The asymptotic distribution of the novel span estimator is investigated.

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

Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, Michel Gay, Guy d'Urso, et al.. Stable scatterers detection and tracking in heterogeneous clutter by repeat-pass SAR interferometry. ACSSC 2010 - 44th Annual Asilomar Conference on Signals Systems and Computers, Nov 2010, Pacific Grove, Californie, United States. 5 p., ⟨10.1109/ACSSC.2010.5757751⟩. ⟨hal-00544148⟩