| Achim A., Kuruoglu E. E., Zerubia J. SAR image filtering based on the heavy-tailed rayleigh model. In: European Signal Processing conference (Antalya, Turkey, 4-8 september 2005). Proceedings, Suvisoft, 2005. |
| Abstract (English) |
We describe a novel adaptive despeckling filter for Synthetic Aperture Radar (SAR) images. In the proposed approach, the Radar Cross Section (RCS) is estimated using a maximum a posteriori (MAP) criterion. We first employ a logarithmic transformation to change the multiplicative speckle into additive noise. We model the RCS using the heavy-tailed Rayleigh distribution, which was recently proposed as an accurate model for amplitude SAR images. We estimate model parameters from noisy observations by applying the 'method-of-log-cumulants', which relies on the Mellin transform. Finally, we compare our proposed algorithm with the classical Lee filtering technique applied on an aerial image and we quantify the performance improvement. | |
| Subject | Synthetic aperture radar imaging Alpha-stable distribution Generalised (heavy-tailed) Rayleigh distribution Log statistics G.3 Probability and statistics. Distribution functions G.3 Probability and statistics. Statistical computing | |
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