Transport infrastructure monitoring by data fusion of GPR and SAR imagery information

Tosti, Fabio ORCID: https://orcid.org/0000-0003-0291-9937, Gagliardi, Valerio, D'Amico, Fabrizio and Alani, Amir (2019) Transport infrastructure monitoring by data fusion of GPR and SAR imagery information. In: AIIT 2nd International Congress on Transport Infrastructure and Systems in a Changing World - – TIS ROMA 2009, 23-24 Sept, Rome, Italy. (In Press)

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Abstract

In order to maintain the highest operational safety standards, it is crucial that surface and structural deformation caused by geophysical natural hazards and human-related activities in linear transport networks (such as highways and railways) are monitored and evaluated. Today, Ground Penetrating Radar (GPR) is a well-established technology among the available non-destructive testing (NDT) methods for the collection of ground-based information. Concurrently, the space-borne Interferometric Synthetic Aperture Radar (InSAR) is another well-known viable methodology for large-scale investigations of road network surface deformations. However, it is fair to comment that the potential of this method in the area of transport infrastructure monitoring has not yet been sufficiently explored. Within this context, this research demonstrates the viability of integrating InSAR and GPR for monitoring transport assets at network level. The main theoretical and working principles of the two above-mentioned methodologies have been presented and discussed, and the advantage and drawbacks of each technique have then been analysed. The final section of the paper examines a recent experimental activity carried out on a real-life railway located in Puglia, Southern Italy. Test outcomes prove the viability of the proposed data fusion methodology for monitoring the health of transport assets at network level.

Item Type: Conference or Workshop Item (Paper)
ISSN: 2352-1465
Uncontrolled Keywords: ground penetrating radar (GPR); non-destructive testing (NDT) methods; space-borne Interferometric Synthetic Aperture Radar (InSAR); transport infrastructure monitoring; data fusion
Subjects: Construction and engineering > Civil and environmental engineering
Construction and engineering > Electrical and electronic engineering
Construction and engineering > Civil and structural engineering
Construction and engineering
Related URLs:
Depositing User: Fabio Tosti
Date Deposited: 07 Jan 2020 17:48
Last Modified: 08 Jan 2020 13:23
URI: http://repository.uwl.ac.uk/id/eprint/6676

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