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10 October 2008A 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.
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Peng Chen, Weigen Huang, Jingsong Yang, Bin Fu, Huaguo Zhang, Aiqing Shi, "A new ship detection model based multi-distributions on SAR imagery," Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71091L (10 October 2008); https://doi.org/10.1117/12.800062