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

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.