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.
Highlights
Ground-based synthetic aperture radar interferometry (GB-InSAR) is a ground active microwave remote sensing technology that has been developed over the past decade
To solve the problem that the spatiotemporal deformation calculation is lost using traditional interferometric methods in the continuous monitoring datum for the deformation calculation is lost using traditional interferometric methods in the mode, we implemented differential interferometry for the average images of the ground-based synthetic aperture radar (GB-SAR) image subsets continuous monitoring mode, we implemented differential interferometry for the average images of using coherent point targets (CPTs) that were selected by a multi-threshold method
To verify the effectiveness of the method the GB-SAR image subsets using CPTs that were selected by a multi-threshold method
Summary
Ground-based synthetic aperture radar interferometry (GB-InSAR) is a ground active microwave remote sensing technology that has been developed over the past decade. The atmospheric phase errors of the image series acquired by the GB-SAR continuous monitoring mode are generally corrected using reference points, the selection of which has a direct impact on the calculation results. Differential GB-InSAR based on image subsets and coherent point targets (CPTs) was proposed to address the loss of the spatial or temporal reference in deformation calculations by traditional interferometric methods in continuous monitoring mode. During the continuous monitoring of the dam, even if the image collection is interrupted, this method can maintain the reference for deformation calculation with high accuracy, making it possible to analyze the impact of continuous changes in water conditions on the dam using GB-SAR.
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