Spatial Correlation Analysis of Polarimetric SAR Data by Means of the Structure Tensor
Konferenz: EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar
16.05.2006 - 18.05.2006 in Dresden, Germany
Tagungsband: EUSAR 2006
Seiten: 4Sprache: EnglischTyp: PDF
Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Autoren:
D’Hondt, Olivier; Ferro-Famil, Laurent; Pottier, Eric (Instistute of Electronics and Telecommunications of Rennes, University of Rennes 1, France)
Inhalt:
This paper proposes a new approach for the analysis and characterisation of nonstationary spatial texture in polarimetric SAR data. A previously introduced model named Anisotropic Gaussian Kernel (AGK) was shown to be a pertinent indicator of local texture orientation and permitted to represent in a simple way the complex spatial structure of SAR intensity. We propose here two methods for AGK parameter estimation. The first one is an enhancement of a previously developped algorithm and the second one is a new approach based on the Gradient Structure Tensor (GST). These two methods are applied to PolSAR data.