Multi-resolution approaches for GPR-data inversion

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.

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