基于阴影检测的视频SAR运动目标速度估计方法  

Moving Target Speed Estimation of Video SAR Based on Shadow Detection

作　　者：尚士泽[1,2] 吴福伟[1,2] 周洋 SHANG Shize;WU Fuwei;ZHOU Yang(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China;Key Laboratory of IntelliSense Technology,CETC,Nanjing 210039,China)

机构地区：[1]南京电子技术研究所,南京210039 [2]中国电子科技集团公司智能感知技术重点实验室,南京210039

出　　处：《现代雷达》2022年第1期27-32,共6页Modern Radar

摘　　要：针对视频合成孔径雷达(SAR)成像中运动目标速度估计,提出一种基于阴影检测的运动目标速度估计方法。首先,将相邻帧SAR图像进行对消获得对消图像,通过图像处理方法对阴影进行检测;然后,利用区域分块方法对阴影进行定位;最后,利用阴影区域像素累积方法估计运动目标的距离向速度和方位向速度。该方法避免了直接对运动目标的检测和参数估计,降低了检测复杂度,仿真实验结果验证了本算法的有效性。Aiming at moving target speed estimation in video SAR imaging, we proposed a moving target speed estimation method based on shadow detection in this paper. First, the SAR images of adjacent frames were canceled to obtain a canceled image, and the shadow was detected by image processing method. Second, the shadow was localized by using the area block method. Third, the method of shadow region pixel accumulation is used to estimate target range velocity and azimuth velocity. This method avoided the detection and parameter estimation of moving targets directly, and reduced the detection complexity. The simulation results verified the effectiveness of the algorithm.

关 键 词：视频SAR成像 阴影检测 目标速度估计 图像对消 

分 类 号：TN957.52[电子电信—信号与信息处理]