【作者】 薛浩洁； 种劲松；

【Author】 XUE Hao jie 1,2 ,CHONG Jin song 1 (1. Institute of Electronics, Chinese Academy of Sciences, , Beijing 100080, China; 2. Graduate School, Chinese Academy of Sciences, , Beijing 100039, China)

【机构】 中国科学院电子学研究所微波成像技术国家重点实验室；

【摘要】 海洋表面油膜对海洋环境影响极大,及时获取海面油膜信息对保护海洋环境具有重要意义。海洋表面油膜检测是合成孔径雷达(SAR)很重要的应用领域之一。总结了传统以及新近提出的SAR图像海洋表面油膜检测4种算法,对每一种算法进行了详细分析说明。文章还通过3幅实际SAR油膜图像,分别从油膜检测的目视效果、运算速度和自动化程度三方面对这4种算法进行了详细的对比研究,最后提出选择SAR图像海洋表面油膜检测算法的原则。更多还原

【Abstract】 The oil slick on sea surface has great impact on the marine environment, so to timely get the sea surface oil slick information is of great importance to the marine environmental protection, and one of important applications of synthetic aperture radar(SAR) is the sea surface oil slick detection. In this paper, the traditional and recently proposed algorithms for oil slick detection in the SAR images are summarized, and the detailed analysis and explanation of each algorithm are made. Moreover, three oil slick SAR images are used to compare and analyze the four oil slick detection algorithms in respect to the visible effect, computation speed and automation degree, and finally the principles for choosing the detection algorithm of oil slick in SAR images are also proposed.更多还原