2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) 2021
DOI: 10.1109/agers53903.2021.9617280
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Integration of Remote Sensing and Ground-Based Non-Destructive Methods in Transport Infrastructure Monitoring: Advances, Challenges and Perspectives

Abstract: High temporal frequency monitoring of transport infrastructures is crucial for implementing effective maintenance prioritisation strategies and prevent major failures. To this extent, ground-based non-destructive testing (NDT) methods have been successfully applied for decades, reaching very high standards of data quality and accuracy. However, routine and systematic campaigns are required over relatively long inspection times for data collection and implementation into reliable infrastructure management syste… Show more

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Cited by 11 publications
(15 citation statements)
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“…Therefore, the MT-InSAR approach has proven useful in monitoring of transport infrastructure, as the high-density of radar-stable-targets, allows for accurate measurements of displacements with a millimetre accuracy. To this effect, several scientific contributions related to the application of the PSI techniques can be found in the literature, confirming the scientific interest in this area of application [21][22][23]. More generally, satellite remote sensing has been acknowledged in the literature as an effective technology for measuring displacements due to natural hazards.…”
Section: Methodology: Historical Bridge Monitoring By Multi-temporal ...mentioning
confidence: 62%
“…Therefore, the MT-InSAR approach has proven useful in monitoring of transport infrastructure, as the high-density of radar-stable-targets, allows for accurate measurements of displacements with a millimetre accuracy. To this effect, several scientific contributions related to the application of the PSI techniques can be found in the literature, confirming the scientific interest in this area of application [21][22][23]. More generally, satellite remote sensing has been acknowledged in the literature as an effective technology for measuring displacements due to natural hazards.…”
Section: Methodology: Historical Bridge Monitoring By Multi-temporal ...mentioning
confidence: 62%
“…Results confirm the possibility to detect and monitor several PS coherent points by the MT-InSAR approach over a significant observation time. This is crucial to integrate information with on-site inspections and data obtained using ground-based NDT and Machine Learning algorithms [38,39].…”
Section: Results and Short Discussionmentioning
confidence: 99%
“…To this effect, several scientific contributions in this area of application about successful MT-InSAR applications can be found in the literature [23][24][25] 3.1 Ground-based information for roads and bridge surveys…”
Section: Methodsmentioning
confidence: 99%