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A new ship detection model based multi-distributions on SAR imagery

In this paper, we propose a new ship detection model on SAR imagery. The model uses the Pearson distribution system to simulate the backscattering distribution from ocean surface on SAR imagery. In the Pearson distribution system, four distributions including the pearson distributions of type I, III, IV and VI are employed in the model. Using these four distributions, we form a CFAR equation. A distribution selected machine basedβplane is used to select which distribution is adopted for specify SAR imagery. We can get four equations and get the threshold of gray level. Then, using the threshold, the model can find ships from SAR images.