| 基于边缘分析的海面溢油检测 |
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| 引用本文： | 马腾波,王思远.基于边缘分析的海面溢油检测[J].遥感学报,2009,13(6):1087-1098. |
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| 作者姓名： | 马腾波 王思远 |
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| 作者单位： | 1. 中国科学院,电子学研究所,北京,100190;中国科学院,空间信息处理与应用系统技术重点实验室,北京,100190;中国科学院,研究生院,北京,100049
2. 中国科学院,对地观测与数字地球科学中心,北京,100190 |
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| 基金项目： | 国家“十一五”海洋公益项目(编号: 200705018)和国家863重大项目(编号: 098004101A)。 |
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| 摘 要： | 提出一种基于边缘检测的快速溢油信息提取方法, 首先对溢油图像进行ROA(radio of average)边缘检测, 根据检测结果进行AOI(area of interest)提取, 然后使用改进的Weibull-CFAR检测算法对AOI进行溢油检测, 并与全局CFAR检测结果进行对比。实验结果证明, 所提出的方法对于非均匀灰度SAR图像溢油检测准确性较好、效率较高, 特别适用于大图像的快速溢油检测。
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| 关 键 词： | 合成孔径雷达(SAR) 溢油检测 恒虚警率(CFAR) 比率边缘检测(ROA) |
| 收稿时间： | 2008/5/22 0:00:00 |
| 修稿时间： | 2009/1/14 0:00:00 |
Oil detection algorithm based on edge detection |
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| MA Teng-bo and WANG Si-yuan.Oil detection algorithm based on edge detection[J].Journal of Remote Sensing,2009,13(6):1087-1098. |
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| Authors: | MA Teng-bo and WANG Si-yuan |
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| Affiliation: | 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 2. Key Laboratory of Spatial Information Processing and Application System Technology, Chinese Academy of Sciences, Beijing 100190, China; 3. Graduate University of Chinese A;4. Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China |
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| Abstract: | The side-look imaging of SAR (Synthetic Aperture Radar) may result in the pockety density, so we can not get a satisfying result by using CFAR (constant false alarm rate) detection on the whole image. To improve the oil detection capability, we propose a new oil detection method based on edge detection in this paper. First, the AOI (area of interest) of oil is detected through radio edge detection, then an improved Weibull-CFAR detector is applied to the AOI. Comparing with the whole CFAR detection results, this detection method demonstrates better accuracy and efficiency on SAR images with pockety density, especially suitable for the oil detection of big images. |
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| Keywords: | synthetic aperture radar (SAR) oil detection constant false alarm rate(CFAR) ratio edge detection (ROA) |
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