针对合成孔径雷达图像中存在较强杂波,难以提取目标信息和进行分辨率增强处理的问题,提出了一种强杂波背景下的超分辨成像方法.首先,从信号相关性的角度出发,估计杂波自适应门限来提取目标强散射点;然后,结合梯度下降搜索法提取出目标弱散射点;最后,利用提取后的目标散射点在图像域的稀疏性,通过简化的正则化处理方法,对目标进行分辨率增强处理,实现了目标超分辨成像.角反射器和静止的机动车目标实测数据处理的结果验证了文中方法的有效性.
This paper proposes a super-resolution imaging method to solve the problem of extracting targets and enhancing resolution under a strong clutter in the SAR image. Based on singal correlation, an adaptive clutter threshold is proposed to extract strong scatterers of targets. Then weak scatterers of targets are extracted by the gradient descent method. Finally, target resolution is enhanced to realize superresolution imaging by the simplified regularization method. Real-measured data of reflectors and the stationary vehicle validate the effectiveness of the Droposed method.