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提出一种SAR图像域杂波抑制和动目标检测的降维处理方法。该方法对联合像素数据进行正交投影形成联合像素和/差通道观测数据,在保留多幅SAR图像共同信息和差异信息的前提下实现降维处理;并通过对和/差通道自适应处理完成SAR图像域杂波抑制和动目标检测。分析了杂波抑制后残差图幅度和相位的统计分布特性,给出了动目标检测的恒虚警处理性能。仿真结果表明文中算法在一定程度上能够抑制非均匀杂波,并且对SAR图像配准误差具有稳健性。
A reduction method for SAR clutter suppression and moving target detection is proposed. In the method, the joint pixel data is orthogonally projected to form joint pixel and / or differential channel observation data, and the dimensionality reduction processing is realized while preserving the common information and the difference information of the multiple SAR images. Through the adaptive processing of the sum / difference channel, SAR image clutter suppression and moving target detection The statistical distribution characteristics of amplitude and phase of the residue after clutter suppression are analyzed. The CFAR processing performance of moving target detection is given. The simulation results show that the proposed algorithm can restrain the non-uniform clutter to a certain extent and is robust to the registration errors of SAR images.