A Novel Ground Moving Target Detector in Dual-channel SAR Images Based on Adjacent Average and Orthogonal Projection

Concerning the detection of ground moving targets in dual-channel SAR images, a novel detector based on adjacent average and orthogonal projection is proposed. According to obtaining the component of the sample covariance matrix energy vector that is perpendicular to the clutter covariance matrix energy vector, then effective metric can be constructed by this orthogonal component. Combining the processing of adjacent average, all of the slow ground moving targets can be exactly detected. Compared with traditional DPCA, this new method can achieve better clutter rejection, eliminate influences from moving targets sidelobes, set threshold more easily and get lower false alarm probability. The simulated results prove the effectiveness of this metric.