Inversion and complexity analysis of wave parameters applied to spectral recomposition of ground penetrating radar (GPR) data

Ground Penetrating Radar (GPR) method is important to perform the structural characterization in near-surface surveys. Obtaining information of frequency and amplitude increases strongly the possibility of performing a better stratigraphical characterization. The spectral recomposition is an efficient method to recover wave parameters information in near-surface seismic data processing. Since many wavelets observed in seismic records are similar to the ones observed in GPR data, it is possible to recompose the GPR signal spectrum using the same proposition.For this reason, we propose to apply, for a GPR signal, an adapted version of the spectral recomposition approach, aiming to obtain, through an inversion procedure, frequency and amplitude information in a more efficient manner. Since the peak frequencies observed in GPR signal are more singular and higher, in comparison to the seismic signal, it is possible to recover frequency and amplitude information in a more accurate manner.