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IGARSS
2009

Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models

9 years 5 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
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.
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil
Added 20 Feb 2011
Updated 20 Feb 2011
Type Journal
Year 2009
Where IGARSS
Authors Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasile, Jean Philippe Ovarlez, Frédéric Pascal, Michel Gay
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