中国海洋大学学报（自然科学版）2017，Vol.47Issue(2)：79-84,6.DOI:10.16441/j.cnki.hdxb.20160279
一种合成孔径雷达图像舰船假目标检测判别算法
A False Ship Target Discrimination Algorithm in SAR Image
摘要
Abstract
Because of the firing pulse frequency,imaging mechanism and other factors cause the azimuth ambiguity noise appeared in SAR imaging.There will be false targets appear on this image when the noise is in severe cases.In this case,the traditional target detection algorithm will mistake the false target as detection target,it will reduce the detection accuracy,and it will affect the target classification.The reason of false target appearance is analyzed,specific location decoy appeared in SAR images is deduced.From the point of signal processing view,orientation blur suppression simulation of SAR image is implemented.Then double parameter CFAR detection algorithm is used for SAR image target detection.Because true and false target connected area size are different,and the false target area is not connected and area size is smaller.At the same time target detection,characteristics of the target area are used to discriminate between true and false targets.Finally,10 m resolution SAR images are used to verify the target detection.The result of experiment shows that this proposed algorithm can detect the false target caused by the azimuth ambiguity.关键词
合成孔径雷达/假目标/恒虚警率Key words
SAR/false target/CFAR分类
信息技术与安全科学引用本文复制引用
李晨波,刘永信,张晖,王玲琳..一种合成孔径雷达图像舰船假目标检测判别算法[J].中国海洋大学学报（自然科学版）,2017,47(2):79-84,6.基金项目
国家自然科学基金项目(61362002) （61362002）
海洋公益性科研专项(201505002)资助. Supported by National Nature Science Foundation of China (61362002) （201505002）
National Marine Technology Program for Public Welfare(201505002) （201505002）
