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Proceedings Paper

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

Paper Details

Date Published: 10 October 2008
PDF: 9 pages
Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71091L (10 October 2008); doi: 10.1117/12.800062
Show Author Affiliations
Peng Chen, State Oceanic Administration (China)
Zhejiang Univ. (China)
Weigen Huang, State Oceanic Administration (China)
Jingsong Yang, State Oceanic Administration (China)
Bin Fu, State Oceanic Administration (China)
Huaguo Zhang, State Oceanic Administration (China)
Aiqing Shi, State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 7109:
Image and Signal Processing for Remote Sensing XIV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)

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