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Analyse spatiale de texture non stationnaire dans les images SAR.

Abstract : This work deals with the analysis and characterization of nonstationary spatial texture in SAR images.
Most studies considering texture in SAR images are using stationary statistics and spatial isotropy hypotheses. However, visual observation of data shows that dominant orientations may appear in the image. Moreover, measures of autocorrelation at different locations in the image suggest the use of a nonstationary model.
In this work, a parametric model based on anisotropic gaussian kernels is introduced for the second ordrer statistics of SAR intensity. This model is simultaneously taking into account the non-stationary and spatially anisotropic behaviour of the data.
Hence, different estimation methods related to this model are presented, then one of these methods is applied to speckle filtering.
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Contributor : Joelle Drouet <>
Submitted on : Wednesday, April 12, 2006 - 12:01:54 PM
Last modification on : Friday, January 8, 2021 - 3:41:51 AM
Long-term archiving on: : Saturday, April 3, 2010 - 10:16:19 PM


  • HAL Id : tel-00012123, version 1


Olivier d'Hondt. Analyse spatiale de texture non stationnaire dans les images SAR.. Traitement du signal et de l'image [eess.SP]. Université Rennes 1, 2006. Français. ⟨tel-00012123⟩



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