Detection and extraction of orientation-and-scale-dependent information from two-dimensional GPR data with tuneable directional wavelet filters

► A method to process geometric information in GPR data is introduced. ► Scale-and-dip dependent features are extracted with directional filters. ► Two-dimensional B-Spline Wavelet Filters and Gabor Filters are implemented. ► The technique comprises a very effective de-noising procedure. ► The technique is effective in isolating fine to coarse scale geometric information.