An iterative multiscaling approach for solving the electromagnetic inverse scattering problem related to the imaging of shallow subsurface targets with the ground-penetrating radar (GPR) is proposed. The approach combines the zooming properties of the multiscaling technique with the reconstruction capabilities of an Inexact-Newton (IN) method developed in Lp spaces. It is based on multifrequency processing that allows one to face the ill-posedness of the inverse scattering problem by exploiting the regularization properties of a truncated Landweber (LW) method. Experimental data, extracted from radargrams obtained by the GPR in a real situation, are used for validation. The reconstruction results are also compared with those from competitive alternatives, such as a standard IN method or a state-of-the-art multifrequency Conjugate Gradient (CG)-based approach.
2-D TM GPR Imaging Through a Multiscaling Multifrequency Approach in Lp Spaces / Salucci, Marco; Estatico, Claudio; Fedeli, Alessandro; Oliveri, Giacomo; Pastorino, Matteo; Povoli, Sergio; Randazzo, Andrea; Rocca, Paolo. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - 59:12(2021), pp. 10011-10021. [10.1109/TGRS.2021.3049423]
2-D TM GPR Imaging Through a Multiscaling Multifrequency Approach in Lp Spaces
Salucci, Marco;Oliveri, Giacomo;Rocca, Paolo
2021-01-01
Abstract
An iterative multiscaling approach for solving the electromagnetic inverse scattering problem related to the imaging of shallow subsurface targets with the ground-penetrating radar (GPR) is proposed. The approach combines the zooming properties of the multiscaling technique with the reconstruction capabilities of an Inexact-Newton (IN) method developed in Lp spaces. It is based on multifrequency processing that allows one to face the ill-posedness of the inverse scattering problem by exploiting the regularization properties of a truncated Landweber (LW) method. Experimental data, extracted from radargrams obtained by the GPR in a real situation, are used for validation. The reconstruction results are also compared with those from competitive alternatives, such as a standard IN method or a state-of-the-art multifrequency Conjugate Gradient (CG)-based approach.File | Dimensione | Formato | |
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