Subsurface Targets Imaging with an Improved Back- Projection Algorithm

In ground penetrating radar (GPR) imaging, a single point target appears as a hyperbolic curve in the space-time image. In order to focus the hyperbolic curves in GPR images, first, the back-projection (BP) imaging algorithm was introduced. This standard BP imaging algorithm, was accompanied by a lot of artifacts, which have adverse effects on targets detection. Second, an improved BP imaging algorithm, based on cross-correlation between received signals for suppression artifacts, was proposed here. Third, to improve the quality of BP imaging algorithm, a weight factor was designed by analyzing the statistical character of receiving data for each point in regions of imaging. This proposed algorithm was applied on the simulation and the real GPR data and the results showed that the proposed BP imaging algorithm has superior suppression artifacts and produces images with high quality and resolution. In order to quantitatively describe the imaging results on the effect of artifact suppression, focusing parameter was evaluated.