Abstract
Satellite radar interferometry (InSAR) techniques have been successfully applied for structural health monitoring of line-infrastructure such as railway. Limited by meter-level spatial resolution of Sentinel-1 satellite radar (SAR) imagery and meter-level geolocation precision, it is still challenging to (1) categorize radar scatterers (e.g., persistent scatterers (PS)) and associate radar scatterers with actual objects along railways, and (2) identify unstable railway segments using InSAR Line of Sight (LOS) deformation time series from a single viewing geometry. In response to this, (1) we assess and improve the 3-D geolocation quality of Sentinel-1 derived PS using a 2-step method for PS 3-D geolocation improvement aided by laser scanning data; after geolocation improvement, we step-wisely classify railway infrastructure into rails, embankments and surroundings; (2) we recognize unstable rail segments by utilizing the (localized) differential settlement of rails in the normal direction (near vertical) which is yielded from the LOS deformation decomposition. We tested and evaluated the methods using 170 Sentinel-1a/b ascending data acquired between January 2017 and December 2019, over the Betuwe freight train track, in the Netherlands. The results show that 98% PS were associated with real objects with a significance level of 25%, the PS settlement measurements were generally in line with the in-situ track survey Rail Infrastructure aLignment Acquisition (RILA) measurements, and the standard deviations of the PS settlement measurements varied slightly with an average value of 6.16 mm.
Highlights
Satellite radar interferometry (InSAR) is a precise and efficient technique to map surface dynamics on Earth caused by natural process and anthropogenic activities [1,2,3,4,5]
Directly and accurately associating coherent radar scatterers with actual ground targets based on TS-InSAR derived geolocation estimates is almost impossible, especially for line infrastructure, and using medium-resolution satellite radar (SAR) data
This study demonstrated that InSAR is an unarguably powerful and promising technique to systematically monitor the structural health of line-infrastructure, railway infrastructure for our study, over large spatial- and temporal- scale, using medium-resolution Sentinel-1 SAR data
Summary
Satellite radar interferometry (InSAR) is a precise and efficient technique to map surface dynamics on Earth caused by natural process and anthropogenic activities [1,2,3,4,5]. Thanks to the dramatic increase of high spatio-temporal resolution satellite radar (SAR) data, a recent development in the InSAR application has shifted the focus to monitoring individual civil infrastructure such as buildings, railways and bridges. Scatterer Interferometry) [20,21], for systematically monitoring line-infrastructure (which is expanded in one direction but has a limited scale in the other direction)—railways, dams, tunnels, and highways. These studies show that the detected coherent radar scatterers such as persistent scatterers (PS). Directly and accurately associating coherent radar scatterers with actual ground targets based on TS-InSAR derived geolocation estimates is almost impossible, especially for line infrastructure, and using medium-resolution SAR data
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