10 October 2008 A new ship detection model based multi-distributions on SAR imagery
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Proceedings Volume 7109, Image and Signal Processing for Remote Sensing XIV; 71091L (2008); doi: 10.1117/12.800062
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom
Abstract
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); doi: 10.1117/12.800062; https://doi.org/10.1117/12.800062
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KEYWORDS
Synthetic aperture radar

Data modeling

Statistical analysis

Radar

Backscatter

Computer simulations

Device simulation

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