Qualitative Imaging of Experimental Multistatic Ground Penetrating Radar Data

Subsurface imaging of unknown buried objects is of fundamental importance in several fields, spanning from civil engineering applications to safety and biomedical issues. The detection of objects located in an investigation domain in a nondestructive fashion can be faced via addressing an electromagnetic inverse scattering problem. In this paper, an experimental assessment of a simple, linear approach, known as linear sampling method (LSM), is proposed. The results show good recovery performance and robustness against model error, while keeping a low computational burden, which is very important for practical, almost real-time applications.