Abstract
An integrated sensor system comprised of a terrestrial laser scanner (TLS), corner reflectors (CRs), and high precision linear rail is utilized to validate ground-based synthetic aperture radar (GB-SAR) interferometric micro-displacement measurements. A rail with positioning accuracy of 0.1 mm is deployed to ensure accurate and controllable deformation. The rail is equipped with a CR on a sliding platform for mobility. Three smaller CRs are installed nearby, each with a reflective sticker attached to the CR’s vertex; the CRs present as high-amplitude points both in the GB-SAR images and the TLS point cloud to allow for accurate data matching. We analyze the GB-SAR zero-baseline repeated rail differential interferometry signal model to obtain 2D interferograms of the test site in time series, and then use TLS to obtain a 3D surface model. The model is matched with interferograms to produce more intuitive 3D products. The CR displacements can also be extracted via surface reconstruction algorithm. Finally, we compared the rail sensor measurement and TLS results to optimize coherent scatterer selection and filter the data. The proposed method yields accurate target displacement results via quantitative analysis of GB-SAR interferometry.
Highlights
Deformation monitoring and displacement measurement of unstable slopes and buildings are crucial for surface observation and disaster prevention
The aim of this paper is to describe a standard procedure used for testing the deformation monitoring capability of ground-based synthetic aperture radar (GB-SAR) system produced by us is described in this paper, which is adopted in testing the applicability of radar for its main application in monitoring of slope and landslide in emergency conditions
Compared with the method that the PS point was selected based on the two-dimensional image [29], while coherent scatters are selected in this paper to select the PS the point through point cloud classification
Summary
Deformation monitoring and displacement measurement of unstable slopes and buildings are crucial for surface observation and disaster prevention. A variety of measuring sensors have been used to determine explicit shape variations and regional targets deformation patterns in time and space. Current sensors can be divided in contact or non-contact mode categories. The former includes the inclinometer, strain gauge, optical fiber sensor, terrestrial laser scanner (TLS), total station (TS), global positioning system (GPS), and other monitoring systems placed on the surface or embedded in the target body [1]. Non-contact sensors mainly include prismatic-free total station, real-aperture radar (RAR) [2,3], and interferometric radar (IN-SAR) [4]
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