Shape reconstruction of three dimensional buried objects from stepped frequency data

In this communication the problem of reconstructing the shape of 3D buried targets from stepped frequency GPR data is addressed by exploiting an improved formulation of the Sampling Methods (SM). These latter are simply and efficient methods which may retrieve the geometrical features of dielectric or metallic targets from multiview, multistatic data measured at a fixed frequency. However, while accurate results may be achieved when full-aperture data are available, their effectiveness is quite unsatisfactory in case of aspect-limited data and lossy media, which is the usual case in GPR applications. In order to overcome this drawback, we propose a new formulation, which is able to improve the reconstruction of the deeper part of the investigated region and it is an original extension of the SM to the case of multi-frequency data.