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This paper discusses methods and parameter settings that help to estimate texture in SAR images. In general, this is a difficult task for SAR images that are characterized by speckle noise and which span a wide range of pixel magnitudes. We applied Gauss Markov Random Field (GMRF) models and Enhanced Model Based Despeckling (EMBD) to 1 meter resolution amplitude images of the German TerraSAR-X mission...
The high complexity and the increased importance of geometry in growing resolution synthetic aperture radar (SAR) data in urban environments poses a limit on the usability of lattice-based scene models. Geometrical models based on marked point processes can be employed to provide better descriptions of the scene. A Gibbs potential based on a hierarchical Bayesian description of the direct model of...
The high complexity and the increased importance of geometry in growing resolution synthetic aperture radar (SAR) data in urban environments poses a limit on the usability of lattice-based scene models. Geometrical models based on marked point processes can be employed to provide better descriptions of the scene. A Gibbs potential based on a hierarchical Bayesian description of the direct model of...
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