Segmentation of polarimetric SAR data based on the fisher distribution for texture modeling

Lionel Bombrun 1 Jean-Marie Beaulieu 2
1 GIPSA-SIGMAPHY - SIGMAPHY
GIPSA-DIS - Département Images et Signal, GIPSA-PSD - GIPSA Pôle Sciences des Données
Abstract : The Polarimetric Synthetic Aperture Radar (PolSAR) covariance matrix is generally modeled by a complex Wishart distribution. For textured scenes, the product model is used and the texture component is often modeled by a Gamma distribution. In this paper, authors propose to use the Fisher distribution for texture modeling. From a Fisher distributed texture component, we derive the distribution of the complex covariance matrix and we propose to implement the KummerU distribution in a hierarchical segmentation and a hierarchical clustering algorithm. Segmentation and classification results are shown on synthetic images and on ESAR L-band PolSAR data over the Oberpfaffenhofen test-site.
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Lionel Bombrun, Jean-Marie Beaulieu. Segmentation of polarimetric SAR data based on the fisher distribution for texture modeling. IEEE International Geoscience & Remote Sensing Symposium, Jul 2008, Boston, United States. pp.350-353. ⟨hal-00369374⟩

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