In this work, an innovative approach for GPR imaging is presented. The proposed methodology exploits an iterative multi-resolution scheme (i.e., the IMSA) in order to reduce the overall ratio between problem unknowns and informative data, while processes multi-frequency (MF) components of the measured GPR spectrum through a customized particle swarm optimization (PSO) in order to obtain robust and accurate images of the buried domain. A preliminary numerical example is provided, as well, to show both the effectiveness of the MF-IMSA-PSO and its advantages over its deterministic (local search-based) implementation.
Multi-resolution approaches for GPR-data inversion / Salucci, Marco; Tenuti, Lorenza; Randazzo, Andrea; Rocca, Paolo. - STAMPA. - (2016), pp. 16-18. (Intervento presentato al convegno EMTS 2016 tenutosi a Espoo, Finland nel 14th-18th August 2016) [10.1109/URSI-EMTS.2016.7571299].
Multi-resolution approaches for GPR-data inversion
Salucci, Marco;Tenuti, Lorenza;Rocca, Paolo
2016-01-01
Abstract
In this work, an innovative approach for GPR imaging is presented. The proposed methodology exploits an iterative multi-resolution scheme (i.e., the IMSA) in order to reduce the overall ratio between problem unknowns and informative data, while processes multi-frequency (MF) components of the measured GPR spectrum through a customized particle swarm optimization (PSO) in order to obtain robust and accurate images of the buried domain. A preliminary numerical example is provided, as well, to show both the effectiveness of the MF-IMSA-PSO and its advantages over its deterministic (local search-based) implementation.File | Dimensione | Formato | |
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