A New Ship Wake CFAR Detection Algorithm in SAR Images Based on Image Segmentation and Normalized Hough Transform
Ai Jia-qiu①② Qi Xiang-yang① Yu Wei-dong① Liu Fan①②
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(Graduate University, Chinese Academy of Sciences, Beijing 100049, China)
Abstract：A new ship wake CFAR detection algorithm is proposed in SAR images. 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 barycenter as the center, a square image with a certain length is got and the image is segmented into four sub-images and to perform Normalized Hough Transform on every sub-image; The gray contrast of wake to clutter in the sub-image is enhanced. The probability model in the transform domain of each sub-image is constructed to realize CFAR detection; Finally, the detection results of the sub-images are fused to get the final detection. The detecting results are much better and can be used for CFAR detection. The simulation experiment proves the effectiveness of the algorithm.
艾加秋, 齐向阳, 禹卫东, 刘凡. 一种基于图像分割和归一化灰度Hough变换的SAR图像舰船尾迹CFAR检测算法[J]. 电子与信息学报, 2010, 32(11): 2668-2673.
Ai Jia-Qiu, Qi Xiang-Yang, Yu Wei-Dong, Liu Fan. A New Ship Wake CFAR Detection Algorithm in SAR Images Based on Image Segmentation and Normalized Hough Transform. , 2010, 32(11): 2668-2673.
2010, Vol. 32 
