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.
MAP Filtering for SAR Images Based on Heavy-Tailed Rayleigh Modeling of Speckle
01.12.2006
2766926 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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