Physical-information exploitation in inverse scattering approaches for GPR survey

An imaging technique is proposed for the retrieval of sparse dielectric targets buried in a lossy half-space. To achieve this goal, the contrast source formulation of the inverse problem is solved through a customized implementation of the multi-task (MT) Bayesian Compressive Sensing. Some preliminary results are shown in the in order to demonstrate the effectiveness of the proposed approach when solving time-harmonic subsurface prospecting problems in different noise conditions.