A Novel Ship Wake CFAR Detection Algorithm Based on SCR Enhancement and Normalized Hough Transform

被引:35
作者
Ai Jiaqiu [1 ]
Qi Xiangyang [1 ]
Yu Weidong [1 ]
Deng Yunkai [1 ]
Liu Fan [1 ]
Shi Li [1 ]
Jia Yafei [1 ]
机构
[1] Chinese Acad Sci, Inst Elect, Dept Space Microwave Remote Sensing Syst, Beijing 100190, Peoples R China
关键词
Constant false alarm rate (CFAR); normalized Hough transform (NHT); synthetic aperture radar (SAR); signal-to-clutter ratio (SCR) enhancement; ship wake detection; SAR IMAGES; RADON-TRANSFORM;
D O I
10.1109/LGRS.2010.2100076
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A novel ship wake constant false alarm rate (CFAR) detection algorithm is proposed. The algorithm first detects all the ships and replaces the pixels' gray value of the detected ship with the gray mean value. Then, with the ship target's geometric center as the center, a square image with a certain length is got, and the image is subdivided into four subimages, where the gray intensity contrast of the wake to clutter in the subimage is enhanced. Normalized Hough transform is applied on every subimage, and the probability distribution function in the Hough domain of each subimage is modeled, which can be used for CFAR detection. Finally, the detection results of the subimages are fused to get the final detection. Using our algorithm, the signal-to-clutter ratio of the wake to clutter is enhanced, the ship's navigation direction can be extracted easily, and most importantly, CFAR detection is realized.
引用
收藏
页码:681 / 685
页数:5
相关论文
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