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In this paper the imaging of Ground Penetrating Radar (GPR) scenario via Kirchhoff migration (KM) method is seen as a validation of the controlled experimental data and as a first step toward more elaborate imaging techniques. One of our goals is to have the possibility to acquire experimental data in a controlled laboratory environment. The bi-static GPR data is then acquired and validated by comparison...
In this paper, a Discontinuous Galerkin Time-Domain (DGTD) method is used to model full Ground Penetrating Radar (GPR) scenarios. The bi-static GPR is made of two identical Vivaldi antennas, which are accurately modeled in front of a sand box in order to detect and localize some buried objects. Our approach is validated by comparison with either synthetic data provided by CST-MWS or experimental data...
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