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
RANDAZZO, ANDREA;
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 in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
EMTS2016_IMSA_IN_Buried.pdf
accesso chiuso
Tipologia:
Documento in versione editoriale
Dimensione
228.75 kB
Formato
Adobe PDF
|
228.75 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.