In this paper, a subsurface imaging configuration is considered, with the goal of retrieving the quantitative dielectric properties of buried targets from scattered electric field measurements performed by a set of antennas above the soil. The acquired scattered-field data are processed by a nonlinear inverse-scattering approach in variable-exponent Lebesgue spaces able to jointly exploit multifrequency data, which is extended here for the first time to subsurface imaging problems. Numerical simulations are presented as a preliminary assessment of the proposed inverse-scattering technique, where a multistatic ground penetrating radar configuration is adopted.
Nonlinear inverse-scattering in variable-exponent spaces for multifrequency subsurface imaging
Fedeli, Alessandro;Schenone, Valentina;Estatico, Claudio;Pastorino, Matteo;Randazzo, Andrea
2021-01-01
Abstract
In this paper, a subsurface imaging configuration is considered, with the goal of retrieving the quantitative dielectric properties of buried targets from scattered electric field measurements performed by a set of antennas above the soil. The acquired scattered-field data are processed by a nonlinear inverse-scattering approach in variable-exponent Lebesgue spaces able to jointly exploit multifrequency data, which is extended here for the first time to subsurface imaging problems. Numerical simulations are presented as a preliminary assessment of the proposed inverse-scattering technique, where a multistatic ground penetrating radar configuration is adopted.File | Dimensione | Formato | |
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Eucap2021_MultiFreqSubsurfaceImaging.pdf
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