Nationwide Railway Monitoring Using Satellite SAR Interferometry

Chang, Ling; Dollevoet, Rolf; Hanssen, Ramon F.

doi:10.1109/jstars.2016.2584783

Cited by 94 publications

(57 citation statements)

References 16 publications

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“…Due to the stable backscattering, high-speed rail tracks and stations maintain good coherence over a long time span (Qin, 2016;Chang, 2017 ), which can provide a large amount of point scatterers for subsidence monitoring. With Time series InSAR technology, the inherent constraints of decorrelation and atmospheric artifacts are properly handled, signals with different spatio-temporal attributes are separated, resulting in reliable surface deformation results.…”

Section: Results Analysismentioning

confidence: 99%

Subsidence Evaluation of High-Speed Railway in Shenyang Based on Time-Series Insar

Yun

Wei

et al. 2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:More and more high-speed railway are under construction in China. The slow settlement along high-speed railway tracks and newlybuilt stations would lead to inhomogeneous deformation of local area, and the accumulation may be a threat to the safe operation of high-speed rail system. In this paper, surface deformation of the newly-built high-speed railway station as well as the railway lines in Shenyang region will be retrieved by time series InSAR analysis using multi-orbit COSMO-SkyMed images. This paper focuses on the non-uniform subsidence caused by the changing of local environment along the railway. The accuracy of the settlement results can be verified by cross validation of the results obtained from two different orbits during the same period.* Corresponding author INTRODUTIONIn recent years, China has ushered a new era with a lot of highspeed railway infrastructure construction, indicating the rapid economic development of the whole country. The pressure on the roadbed and elevated bridges of high-speed railway is much higher than traditional rail tracks because of the extremely high speed. The slow settlement along and around the high-speed rail tracks may also threaten the safe operation of high-speed trains after a long period of accumulation. Besides, newly-built highspeed railway stations may also lead to inhomogeneous deformation of the surrounding area. Therefore, continuously monitoring the settlement of high speed rail tracks and stations is a key to ensure the safety and long-term development of public transportation safety (Dai, 2013;Liu, 2016;Shi, 2015;Yang, 2015). DEFORMATION MONITORING WITH TIME SERIES INSARTime-series InSAR utilizes stable points which are not influenced by saptial-temporal decorrelation and suppresses the atmospheric delaying phase. The evolution of surface deformation is obtained by separating the atmospheric phase and deformation phase in time series based on their different spatial-temporal characteristics. In our data processing, interferograms are firstly generated after selection of a common master, image coregistration and resampling of slave images. Secondly, the phase variation caused by flat earth with reference to the ellipsoid is estimated and removed, followed by geocoding of the flattened interferograms. Then, amplitude and phase analysis are conducted to estimate the probability of individual pixels as PS candidates, resulting in a subset of PS candidates. Next, the selected PS candidates are filtered to reject those that appear to be persistent accidentally which are dominated by scatterers in adjacent PS pixels or are only persistent in certain interferograms. For each PS point, the wrapped phases in differential interferograms can be decomposed into uncompensated topography, motion of the target between different acquisitions, the object scattering phase related to the path length traveled in the resolution cell, atmospheric phase delays, the phase caused by imprecise orbit data, and additive noise. Finally, the phases are unwrapped and the unwra...

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Section: Results Analysismentioning

confidence: 99%

Subsidence Evaluation of High-Speed Railway in Shenyang Based on Time-Series Insar

Yun

Wei

et al. 2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In particular, the availability of high resolution and short repeat time satellite constellations lead to more effective near real-time disaster monitoring, assessment response and greater ability to constrain dynamically changing physical processes [3,4]. Although many studies have been carried out using InSAR in the field of structural monitoring looking at urban areas [5][6][7], bridges [8,9], railways [10,11], tunneling [12][13][14][15], and dams [16][17][18][19], state of the art scientific literature sees only few papers coupling MT-InSAR and structural modeling as a building damage assessment tool [6,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

et al. 2018

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Spaceborne multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a monitoring technique capable of extracting line of sight (LOS) cumulative surface displacement measurements with millimeter accuracy. Several improvements in the techniques and datasets quality led to more effective, near real time assessment and response, and a greater ability of constraining dynamically changing physical processes. Using examples of the COSMO-SkyMed (CSK) system, we present a methodology that bridges the gaps between MT-InSAR and the relative stiffness method for tunnel-induced subsidence damage assessment. The results allow quantification of the effect of the building on the settlement profile. As expected the greenfield deformation assessment tends to provide a conservative estimate in the majority of cases (~71% of the analyzed buildings), overestimating tensile strains up to 50%. With this work we show how these two techniques in the field of remote sensing and structural engineering can be synergistically used to complement and replace the traditional ground based analysis by providing an extended coverage and a temporally dense set of data.

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“…15 It provides high resolution, day-and-night and weather-independent images that can be used to monitor deformations over extensive areas. Although the potential of InSAR for monitoring of structures and infrastructure has been extensively proven, [16][17][18][19][20][21][22][23][24][25] only the recent availability of high resolution X-band (3-cm wavelength) spaceborne SAR Constellations such as COSMO-SkyMed 26 has theoretically enabled the direct use of InSAR monitoring data as an input for a quantitative assessment of structural damage; a main reason for this is the increase of coherent pixel density over urban areas by 320% and 550% with respect to RADARSAT-1 and ENVISAT C-band satellites (5.66-cm wavelength). 27 This paper evaluates the practical use of InSAR monitoring data for the assessment of tunnelling-induced damage to buildings.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of InSAR monitoring data for post‐tunnelling settlement damage assessment

Giardina

Milillo

DeJong

et al. 2018

Struct Control Health Monit

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Summary The increasing demand for underground infrastructure should be supported by innovation in monitoring and damage assessment solutions to minimise damage to surface structures caused by ground settlements. This paper evaluates the use of multitemporal synthetic aperture radar interferometry (MT‐InSAR) to calculate tunnelling‐induced deformations of buildings. The paper introduces a step‐by‐step procedure to use InSAR displacements as an input to the structural damage assessment. After a comparison between traditional and InSAR monitoring data for the London area during the Crossrail excavation, the high resolution, high density InSAR‐based displacements were used to evaluate the building deformations for a number of case studies. Results demonstrate the quality of information provided by InSAR data on soil‐structure interaction mechanisms. Such information, essential to evaluate current damage assessment procedures, is typically only collected for relatively few buildings due to the cost of traditional monitoring. A comparison between damage indicators derived from greenfield assumptions and building displacements quantifies the practical benefit of the proposed step‐by‐step procedure. This work aims at filling the gap between the most recent advances in remote sensing and the civil engineering practice, defining the first step of an automated damage assessment procedure which can impact large scale underground projects in urban areas.

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Nationwide Railway Monitoring Using Satellite SAR Interferometry

Cited by 94 publications

References 16 publications

Subsidence Evaluation of High-Speed Railway in Shenyang Based on Time-Series Insar

Subsidence Evaluation of High-Speed Railway in Shenyang Based on Time-Series Insar

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

Evaluation of InSAR monitoring data for post‐tunnelling settlement damage assessment

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