Traditional Rayleigh distribution cannot accord with the heavy-tailed statistics of speckle because of the use of central limit theorem. In this paper, speckle in synthetic aperture radar (SAR) amplitude image is modeled as heavy-tailed Rayleigh distribution based on the non-Gaussian assumption of complex echo in each resolution cell, and the maximum a posteriori (MAP) filter is presented using Gamma prior distribution. Based on Mellin transform, parameters of heavy-tailed Rayleigh distribution are estimated from the observed image. The de-speckling experiments and their quantitative measures demonstrate that the MAP filter based on heavy-tailed Rayleigh modeling of speckle owns higher capability of noise suppression compared to the one using the traditional Rayleigh distribution and the linear minimum mean square error (MMSE) filter.


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    Title :

    MAP Filtering for SAR Images Based on Heavy-Tailed Rayleigh Modeling of Speckle


    Contributors:


    Publication date :

    2006-12-01


    Size :

    2766926 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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