遥感学报
遙感學報
요감학보
JOURNAL OF REMOTE SENSING
2009年
6期
1082-1091
,共10页
合成孔径雷达(SAR)%溢油检测%恒虚警率(CFAR)%比率边缘检测(ROA)
閤成孔徑雷達(SAR)%溢油檢測%恆虛警率(CFAR)%比率邊緣檢測(ROA)
합성공경뢰체(SAR)%일유검측%항허경솔(CFAR)%비솔변연검측(ROA)
synthetic aperture radar (SAR)%oil detection%constant false alarm rate(CFAR)%ratio edge detection (ROA)
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.
提齣一種基于邊緣檢測的快速溢油信息提取方法,首先對溢油圖像進行ROA(radio of average)邊緣檢測,根據檢測結果進行AOI(area of interest)提取,然後使用改進的Weibull-CFAR檢測算法對AOI進行溢油檢測,併與全跼CFAR檢測結果進行對比.實驗結果證明,所提齣的方法對于非均勻灰度SAR圖像溢油檢測準確性較好、效率較高,特彆適用于大圖像的快速溢油檢測.
제출일충기우변연검측적쾌속일유신식제취방법,수선대일유도상진행ROA(radio of average)변연검측,근거검측결과진행AOI(area of interest)제취,연후사용개진적Weibull-CFAR검측산법대AOI진행일유검측,병여전국CFAR검측결과진행대비.실험결과증명,소제출적방법대우비균균회도SAR도상일유검측준학성교호、효솔교고,특별괄용우대도상적쾌속일유검측.
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.
