Inversion of Signal Parameters to Perform Spectral Recomposition of GPR Data

Autor: V. Priimenko, N. Zuniga
Rok vydání: 2021
Předmět:
Zdroj: First EAGE Conference on Near Surface in Latin America.
DOI: 10.3997/2214-4609.202185009
Popis: Summary Information of signal parameters are essential to perform a reliable geological characterization. For near-surface ground modelling, GPR method is commonly used for shallower targets. Several techniques developed for seismic methods can be adapted and applied to be used for GPR method, since the share few similarities concerning acquisition and processing. We propose to apply a spectral recomposition approach used in seismic amplitude analysis by adapting its mathematical description to a wavelet which is more similar to the wavelets found in GPR signals. With this, we can recover the peak frequency and amplitude of a GPR signal wavelet by an inversion procedure.
Databáze: OpenAIRE