A class of migration algorithms for ground-penetrating radar data

Ground-penetrating radar (GPR) is a mature remote sensing technique used to obtain spatial location and reflectivity information on subsurface features from data collected over the surface. Various imaging or migration techniques have been used to refocus the scattered signals from the x-t domain or image space back to their true spatial location in the object space. The goal of this presentation is to outline a class of generalized GPR migration algorithms that are firmly based on the electromagnetic theory and radar principles. The development of these algorithms is based on a matched-filter response. By presenting migration in terms of a matched filter and electromagnetic theory, further understanding of the physical processes involved within GPR collection and imaging are gained. In particular, they present the necessary assumptions required for the development and application of a class of two- and three-dimensional vector migration algorithms for bistatic and monostatic radar configurations. Finally, a bistatic three-dimensional polarimetric simulation is presented using the finite-difference time-domain