This contribution deals with the effect of the background removal procedure on GPR data for an inverse scattering
algorithm funded on the Born Approximation in the simple case of a scalar two-dimensional geometry. The effect is
examined with regard to both the problem of the extraction of scattered field data from the total field data and to the
performances of the reconstruction approach. As it will be shown, the background removal amounts to a spatial filtering
of the available reconstruction and, depending on the kind of target looked for, it can be very useful but also quite useless
or even harmful.
In this paper we apply a tomographic approach to the reconstruction of dielectric objects embedded in a layered medium, showing its reconstruction capability and robustness against noise. The problem is tackled with reference to a two-dimensional geometry and within the framework of the linear Distorted Born Approximation (DBA). Relying on the Singular Value Decomposition (SVD) of the operator describing the problem, the favorable effect of the increase in the band of adopted frequencies is also outlined. Numerical examples are provided to assess effectiveness robustness of the proposed approach against noise on data.
In the framework of ARCHEO, a national research project funded by the Italian Ministry for Universities and Scientific and Technological Research (M.U.R.S.T.), a new ground penetrating radar (GPR) has been developed by the Italian Consortium for Research on Advanced Remote Sensing Systems (CO.RI.S.T.A.). The system has been specially designed to meet archaeological requirements and it will be tested the two archaeological sites of Sinuessa and Cales, in the Southern Italy. An innovative feature of ARCHEO concerns the exploitation of that of a multiview multistatic measurement scheme (at several frequencies) rather than a more common multimonostatic (or multibistatic). In order to reconstruct buried objects starting from the measurement data collected with such an acquisition strategy, it is made use of an inverse scattering technique. With the real project ARCHEO in mind (in particular this scheme of measurement), this paper deals with a theoretical discussion on the features of the class of retrievable profiles by G.P.R. data, within the framework of a linear model for electromagnetic scattering in a two dimensional lossless half space. For a given range of frequencies exploitable, multiview multistatic measurements can be useful in G.P.R. prospecting because they can provide information on low spatial harmonic components of an unknown object not attainable from the multimonostatic scheme exploiting the same frequency range. In particular, we show that, for a given band of work frequencies, the class of the unknowns retrievable by a multiview multistatic multifrequency measurement configuration can be is not much different from that attainable within a multimonostatic configuration with the addition of multiview multistatic data taken at the lowest of the frequencies adopted.
In the framework of ARCHEO, a national research project funded by the Italian Ministry for Universities and Scientific and Technological Research, a new ground penetrating radar has been developed by the Italian Consortium for Research on Advanced Remote Sensing Systems. The system has been specially designed to meet archaeological requirements and it will be used to identify and characterize buried finds. The paper summarizes the main guidelines followed during the design phase and presents the radar architecture.