基于极化分类辅助的复杂场景多通道SARGMTI方法

A Multichannel SAR-GMTI Method for Complex Scenes Based on Polarization Classification

在复杂场景下,人造建筑物受到系统噪声、通道误差等因素影响,容易造成大量虚警,影响动目标检测性能.提出一种基于极化分类辅助的多通道合成孔径雷达地面动目标检测方法,在传统相位中心偏置天线方法基础上,结合H/αWishat极化分类,判断图像中的人造建筑物,并在恒虚警检测结果中剔除由人造建筑物造成的虚警.与传统相位中心偏置天线方法相比,该方法能有效抑制复杂环境下由建筑物造成的虚警,提升了动目标检测性能.通过国内首批多通道全极化合成孔径雷达地面动目标检测实测数据验证了所提方法的有效性.

In complex scenes with many man-made buildings,there are often many false alarms in the detection results due to the noise and channel imbalance.This paper proposes a multichannel SAR-GMTI method assisted by polarization classification.Based on the DPCA results,the H/α-Wishat polarization classification method is adopted to identify the man-made buildings,and the false alarms caused by the man-made buildings can be eliminated from the results of constant false alarm detection.Compared with traditional DPCA technique,this method can effectively reduce the false alarms caused by buildings in complex scenes and improve the performance of moving target detection.Finally,the effectiveness of the proposed method is verified by the first batch of domestic measured multichannel quadrature-polarization SAR-GMTI data.