摘要
提出了一种高分辨率SAR图像机动目标快速获取方法.该方法首先利用SAR图像中的对比度信息采用CFAR检测以确定图像中潜在目标区域的位置,然后提取每一个潜在目标区域的尺寸特征、形状特征以及对比度特征进行基于投票机制的目标鉴别,从而滤除自然杂波虚警以及部分人造杂波虚警.实测数据的结果证明了该方法的有效性.
A method for fast acquirement of vehicle targets from high-resolution SAR images is proposed. At first, a constant false alarm rata （CFAR） detector is utilized to locate the potential target regions. Then size, shape, and contrast features of each potential region are computed for target discrimination, and false alarms created by nature clutter and partial man-made clutter are rejected by combining these features to make determination based on voting decision. The experiment results show the proposed method is effective.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第9期1663-1667,共5页
Acta Electronica Sinica
基金
"十五"国防预研项目(No.43122020401)
关键词
合成孔径雷达
机动目标
检测
鉴别
synthetic aperture radar
vehicle target
detection
discrimination
