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A common assumption for Synthetic Aperture Radar (SAR) data, is that the intensity return from textureless areas follows a Gamma law with mean λ > 0 and L > 0 looks. Many image processing techniques need to estimate these parameters using small samples. Unfortunately, the presence of discrepant observations in SAR data occurs frequently, even when dealing with small samples. This is mostly caused...
The GA0 distribution is assumed as the universal model for multilook amplitude SAR imagery data under the multiplicative model. This distribution has two unknown parameters related to the roughness and the scale of the signal, that can be used in image analysis and processing. It can be seen that maximum likelihood and moment estimators for its parameters can be influenced by small percentages of...
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