Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models

Abstract : In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV) estimation scheme, the scalar texture parameter and the normalized covariance matrix are extracted. If the texture parameter is modeled by a Fisher PDF, the observed target scattering vector follows a KummerU PDF. Then, this PDF is implemented in a hierarchical segmentation algorithm. Segmentation results are shown on high resolution PolSAR data at L and X band.
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Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasile, Jean-Philippe Ovarlez, Frédéric Pascal, et al.. Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models. IEEE International Geoscience And Remote Sensing Symposium 2009 (IGARSS 2009), Jul 2009, Le Cap, South Africa. pp.5-8, ⟨10.1109/IGARSS.2009.5418271⟩. ⟨hal-00398923⟩

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