An improved algorithm for the detection of vehicle group targets in high-resolution SAR images

In this paper, the detection of vehicle group targets in high-resolution SAR images has been investigated. Theoretical analysis has been carried out by statistical methods and the formulas of threshold and parameter estimations of three detection algorithms are obtained. The results show that global parameter estimation is of good effect and there are more false alarms in conventional two-parameter CFAR and single look standard CFAR detection algorithms. We present an improved multi-look de-speckling CFAR detection algorithm, which shows exact target detection, little false alarm and clear target details. The parameter selection and optimal parameters are also given.