Strumenti di elaborazione dati commerciali, comunemente adottati per applicazioni di radar a penetrazione del terreno, modellano il sottosuolo investigato come un mezzo omogeneo. Di conseguenza, spesso forniscono immagini imprecise o fuorvianti quando la permettività elettrica non è ovunque la stessa. Pertanto, ha senso esplorare la possibilità di migliorare le capacità di imaging di questi codici di elaborazione dati ampiamente utilizzati introducendo una semplice procedura implementabile attraverso una routine software sviluppata ad hoc. A tal proposito, proponiamo a strategia semi-euristica in grado di migliorare le capacità di imaging nel caso di un mezzo a due strati con interfaccia non piana tra i mezzi.
Commercial data processing tools, commonly adopted in Ground Penetrating Radar (GPR) applications, model the investigated subsoil as a homogeneous medium. As consequence, often they provide inaccurate or misleading images when the electric permittivity is not everywhere the same. Therefore, it makes sense to explore the possibility of improving the imaging capabilities of these widely exploited data processing codes by introducing a simple procedure implementable through a homemade software routine. Moving in this direction, we propose a semi-heuristic strategy capable of improving the imaging capabilities in the case of a two-layered soil with a not flat interface between the media. It is worth noting that imaging procedures based on refined models of the signal propagation in inhomogeneous media could be considered. However, their use could be not easy for end-users, especially if they lack for a specific training process. The strategy we propose is practical and not mathematically rigorous, and it aims at exploiting in the best way imperfect (but commonly available) processing tools for GPR data. The strategy is made up of two steps. The focusing step is performed by means of a combination of migration algorithms, and the time-depth conversion step is also performed by combining the estimated properties of the surveyed soil. A preliminary experimental result assessing the advantages offered by the proposed strategy is herein provided.
A practical strategy for improving GPR images referred to inhomogeneous scenarios
Giuseppe Esposito;Ilaria Catapano
2023
Abstract
Commercial data processing tools, commonly adopted in Ground Penetrating Radar (GPR) applications, model the investigated subsoil as a homogeneous medium. As consequence, often they provide inaccurate or misleading images when the electric permittivity is not everywhere the same. Therefore, it makes sense to explore the possibility of improving the imaging capabilities of these widely exploited data processing codes by introducing a simple procedure implementable through a homemade software routine. Moving in this direction, we propose a semi-heuristic strategy capable of improving the imaging capabilities in the case of a two-layered soil with a not flat interface between the media. It is worth noting that imaging procedures based on refined models of the signal propagation in inhomogeneous media could be considered. However, their use could be not easy for end-users, especially if they lack for a specific training process. The strategy we propose is practical and not mathematically rigorous, and it aims at exploiting in the best way imperfect (but commonly available) processing tools for GPR data. The strategy is made up of two steps. The focusing step is performed by means of a combination of migration algorithms, and the time-depth conversion step is also performed by combining the estimated properties of the surveyed soil. A preliminary experimental result assessing the advantages offered by the proposed strategy is herein provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
