Spatial Correlation Analysis of Polarimetric SAR Data by Means of the Structure Tensor
Conference: EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar
05/16/2006 - 05/18/2006 at Dresden, Germany
Proceedings: EUSAR 2006
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
D’Hondt, Olivier; Ferro-Famil, Laurent; Pottier, Eric (Instistute of Electronics and Telecommunications of Rennes, University of Rennes 1, France)
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.