Stochastic Processes Approach in GPR Applications

In this article, we present a postprocessing tool to gain powered information for the interpretation of the raw data collected in ground-penetrating radar (GPR) scans by simulations. The method can be extended to measurements raw data and various applications. The proposed approach is based on space ensemble and time ensemble correlation functions applied to GPR B-scan raw data and yields higher detailed information for tracking buried objects. The gprMax simulation results for soil and concrete models confirm the high resolution of the proposed method for sites’ allocation and time stamp of underground objects. The method can be further extended by the introduction of stochastic collocations ensembles in computations.