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Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets

Authors :
Peng Wang
Xiandong Pan
Cheng Xing
Source :
Sensors, Volume 20, Issue 2, Sensors (Basel, Switzerland), Sensors, Vol 20, Iss 2, p 396 (2020)
Publication Year :
2020
Publisher :
Multidisciplinary Digital Publishing Institute, 2020.

Abstract

Ground-based synthetic aperture radar interferometry (GB-InSAR) enables the continuous monitoring of areal deformation and can thus provide near-real-time control of the overall deformation state of dam surfaces. In the continuous small-scale deformation monitoring of a reservoir dam structure by GB-InSAR, the ground-based synthetic aperture radar (GB-SAR) image acquisition may be interrupted by multiple interfering factors, such as severe changes in the meteorological conditions of the monitoring area and radar equipment failures. As a result, the observed phases before and after the interruption cannot be directly connected, and the original spatiotemporal datum for the deformation measurement is lost, making the follow-up monitoring results unreliable. In this study, a multi-threshold strategy was first adopted to select coherent point targets (CPTs) by using successive GB-SAR image sequences. Then, we developed differential GB-InSAR with image subsets based on the CPTs to solve the dam surface deformation before and after aberrant interruptions. Finally, a deformation monitoring experiment was performed on an actual large reservoir dam. The effectiveness and accuracy of the abovementioned method were verified by comparing the results with measurements by a reversed pendulum monitoring system.

Details

Language :
English
ISSN :
14248220
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....47938a5d2dd851dc11e0de7c0388be27
Full Text :
https://doi.org/10.3390/s20020396