2019
DOI: 10.1007/s10712-019-09563-7
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Transport Infrastructure Monitoring by InSAR and GPR Data Fusion

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Cited by 62 publications
(39 citation statements)
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“…This is more evident in rural environment where roads, railways and runways can typically generate numerous PSs. Several applications of PSI related to the transport infrastructure monitoring can be found in the literature, such as [8][9][10][11][12][13][14][15], confirming its applicability to this area of endeavour.…”
Section: Psi For Transport Infrastructure Monitoringmentioning
confidence: 90%
“…This is more evident in rural environment where roads, railways and runways can typically generate numerous PSs. Several applications of PSI related to the transport infrastructure monitoring can be found in the literature, such as [8][9][10][11][12][13][14][15], confirming its applicability to this area of endeavour.…”
Section: Psi For Transport Infrastructure Monitoringmentioning
confidence: 90%
“…Benefits of this integrated approach is demonstrated by several past research applications [106], [118], [119] that have demonstrated the effectiveness of the coupled use of the InSAR technology and GPR method. The findings from these studies suggest that the integrated approach can correctly characterise the railway ballast deterioration.…”
Section: Benefits Of Network-level Satellite Remote Sensing and Ndt Mmentioning
confidence: 99%
“…The use of a multi-temporal InSAR (interferometric synthetic aperture radar) for transport infrastructure monitoring has also been significantly increasing during the last few years [294][295][296]. Studies undertaken on railways have shown the potential of the applicability of In-SAR together with GPR, mainly for the detection of causes of track subsidence [297], and to monitor subsidence at the transition zones of railway bridges [298]. It is important to highlight the relevance of the GPR, which can be synergistically used with other NDT to validate the results obtained by InSAR and to identify the possible causes of the displacements detected.…”
Section: Railways Inspectionmentioning
confidence: 99%