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