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OIL SLICK SPOT DETECTION USING K-DISTRIBUTION MODEL OF THE SEA BACKGROUND

文献类型： 外文期刊

作者： Li, Hong-zhong 1 ; Wang, Chao 1 ; Zhang, Hong 1 ; Wu, Fan 1 ; Li, Jilong 3 ;

作者机构： 1.Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing, Peoples R China

2.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China

3.Chinese Acad Fishery Sci, Ctr Fisheries Remote Sensing, Beijing, Peoples R China

关键词： oil spill;dark spot detection;Sea clutter;kappa -distribution model

期刊名称：2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5

ISSN： 2153-6996

年卷期： 2009 年

页码：

收录情况： SCI

摘要： A new method is proposed to get the segmentation threshold and detect the dark spot in oil-spill Images The method is inspired from the kappa -distribution model of sea background, which is widely accepted to describe the ocean clutter. By comparing the histograms of oil-spill region and the sea background, it is found that the oil slicks break the kappa -distribution model, but there is still some information unchanged-the relative probability ratios among the pixel values in 95% similar to 99% CDF extent, which is used to deduce the original kappa -distribution model Finally, the intersection of the original histogram of the oil spill image and the deduced sea background PDF is selected to be the threshold. Experiment in RADARSAT-2 image shows the effectiveness of the method.

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