Subsurface imaging of unknown buried objects is of fundamental importance in several fields, spanning from civil engineering applications to safety and biomedical issues. The detection of objects located in an investigation domain in a nondestructive fashion can be faced via addressing an electromagnetic inverse scattering problem. In this paper, an experimental assessment of a simple, linear approach, known as linear sampling method (LSM), is proposed. The results show good recovery performance and robustness against model error, while keeping a low computational burden, which is very important for practical, almost real-time applications.
Qualitative Imaging of Experimental Multistatic Ground Penetrating Radar Data / Ambrosanio, M.; Bevacqua, M.; Pascazio, V.; Isernia, T.. - (2020), pp. 1-4. (Intervento presentato al convegno 14th European Conference on Antennas and Propagation, EuCAP 2020 tenutosi a dnk nel 2020) [10.23919/EuCAP48036.2020.9135869].
Qualitative Imaging of Experimental Multistatic Ground Penetrating Radar Data
Bevacqua M.;Isernia T.
2020-01-01
Abstract
Subsurface imaging of unknown buried objects is of fundamental importance in several fields, spanning from civil engineering applications to safety and biomedical issues. The detection of objects located in an investigation domain in a nondestructive fashion can be faced via addressing an electromagnetic inverse scattering problem. In this paper, an experimental assessment of a simple, linear approach, known as linear sampling method (LSM), is proposed. The results show good recovery performance and robustness against model error, while keeping a low computational burden, which is very important for practical, almost real-time applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
