ROTATION AND SCALE INVARIANT TEMPLATE MATCHING APPLIED TO BURIED OBJECT DISCRIMINATION IN GPR DATA

In this study, a template matching approach to buried object discrimination problem is proposed over ground penetrating radar (GPR) B-scan images. The technique is scale invariant, which compensates for the change in the swinging speed of the detector. It is also rotation invariant to some extent, which reduces the number of templates to be used by compensating for the change in the scanning direction. The algorithm is tested on real GPR data and results are observed to be promising.