Abstract:Ground Penetrating Synthetic Aperture Radar (GPSAR), working in low frequency, has the capability of ground penetrating to obtain the two-dimensional high-resolution image of shallow buried targets. Vehicle-borne forward-looking GPSAR can detect landmines and minefields in front from a standoff distance quickly, which is a trend of landmine detection. Because speckle noise will influence target detection, the multi-look processing is studied in this paper and ground plane focusing BP algorithm and refraction and dispersion effects correction techniques are proposed. The proposed methods can solve the problems of images registration and shallow buried target two-layered medium imaging in multi-look processing. The proposed methods can improve the image Equivalent Number of Looks (ENL) and Radiometric Resolution (RR) efficiently, which is proved by the practical operating condition simulation of vehicle-borne system with the field data collected by the Rail-GPSAR system.