2020
DOI: 10.3390/s20020396
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Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets

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 rad… Show more

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Cited by 17 publications
(11 citation statements)
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“…There are a large number of false and weak signal pixels in GB-SAR image data [4], which affect the accuracy. Multithreshold filtering is set on these data to remove these invalid observations and get HQP.…”
Section: Multi-threshold Hqp Selectionmentioning
confidence: 99%
“…There are a large number of false and weak signal pixels in GB-SAR image data [4], which affect the accuracy. Multithreshold filtering is set on these data to remove these invalid observations and get HQP.…”
Section: Multi-threshold Hqp Selectionmentioning
confidence: 99%
“…GB-SAR measurement is based on the differential interferometry technique, which utilizes the variation of the target's phase to obtain high-precision deformation information [11]. The basic principle is shown in Figure 1.…”
Section: Repositioning Error In D-gbsar 21 Repositioning Error Modelingmentioning
confidence: 99%
“…The SBAS InSAR technique has been developed over a period approaching 20 years can be used to measure and reveal the physical mechanism of land deformation [21]. Previous attempts to monitor the ongoing destabilization process of artificial dams using space-borne or ground-based (GB) InSAR outside the traditional leveling and GNSS measurement have largely focused on inland water reservoirs and hydraulic structures [51,[71][72][73].…”
Section: Coastal Dam Deformation and Dem Simulationmentioning
confidence: 99%