An innovative on-board processor for the real-time GPR monitoring of railway substructure conditions

Caorsi, S.; Cevini, G.; Burro, F.; Sciotti, M.; Sorge, S.

doi:10.1109/agpr.2007.386568

Cited by 1 publication

(1 citation statement)

References 3 publications

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“…According to the results achieved, the same company developed an array of multi-frequency antennas wherewith it was possible to single out several damaging occurrences. With similar purposes, Caorsi et al [89] developed a railway ballast inspection system capable to extract relevant geophysical parameters in real-time. A neural network-based method was exploited herein for solving the EM inverse problem through a "learning-by-examples" approach.…”

Section: ) Railwaysmentioning

confidence: 99%

GPR Applications Across Engineering and Geosciences Disciplines in Italy: A Review

Benedetto

Tosti

Ciampoli

et al. 2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In this paper, a review of the main ground-penetrating radar (GPR) applications, technologies, and methodologies used in Italy is given. The discussion has been organized in accordance with the field of application, and the use of this technology has been contextualized with cultural and territorial peculiarities, as well as with social, economic, and infrastructure requirements, which make the Italian territory a comprehensive large-scale study case to analyze. First, an overview on the use of GPR worldwide compared to its usage in Italy over the history is provided. Subsequently, the state of the art about the main GPR activities in Italy is deepened and divided according to the field of application. Notwithstanding a slight delay in delivering recognized literature studies with respect to other forefront countries, it has been shown how the Italian contribution is now aligned with the highest world standards of research and innovation in the field of GPR. Finally, possible research perspectives on the usage of GPR in Italy are briefly discussed

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Section: ) Railwaysmentioning

confidence: 99%