Ground-based synthetic aperture radar interferometry for deformation monitoring: a case study at Geheyan Dam, China

Huang, Qihuan; Luzi, G.; Monserrat, Oriol; Crosetto, Michele

doi:10.1117/1.jrs.11.036030

Cited by 12 publications

(11 citation statements)

References 20 publications

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“…In addition, some of the measurements can be related to some loose parts, e.g., wiring, railing or lamps. Examples of data interpretation of GBSAR measurements of a complex dam structure are described by Qiu [ 106 ] and Huang [ 107 ].…”

Section: Remote Sensors For Areal Deformation Measurement (Adm)mentioning

confidence: 99%

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

Scaioni

Marsella

Crosetto

et al. 2018

Sensors

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133

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In recent years, the measurement of dam displacements has benefited from a great improvement of existing technology, which has allowed a higher degree of automation. This has led to data collection with an improved temporal and spatial resolution. Robotic total stations and GNSS (Global Navigation Satellite System) techniques, often in an integrated manner, may provide efficient solutions for measuring 3D displacements on precise locations on the outer surfaces of dams. On the other hand, remote-sensing techniques, such as terrestrial laser scanning, ground-based SAR (synthetic aperture radar) and satellite differential interferometric SAR offer the chance to extend the observed region to a large portion of a structure and its surrounding areas, integrating the information that is usually provided in a limited number of in-situ control points. The design and implementation of integrated monitoring systems have been revealed as a strategic solution to analyze different situations in a spatial and temporal context. Research devoted to the optimization of data processing tools has evolved with the aim of improving the accuracy and reliability of the measured deformations. The analysis of the observed data for the interpretation and prediction of dam deformations under external loads has been largely investigated on the basis of purely statistical or deterministic methods. The latter may integrate observation from geodetic, remote-sensing and geotechnical/structural sensors with mechanical models of the dam structure. In this paper, a review of the available technologies for dam deformation monitoring is provided, including those sensors that are already applied in routinary operations and some experimental solutions. The aim was to support people who are working in this field to have a complete view of existing solutions, as well as to understand future directions and trends.

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Section: Remote Sensors For Areal Deformation Measurement (Adm)mentioning

confidence: 99%

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

Scaioni

Marsella

Crosetto

et al. 2018

Sensors

Self Cite

133

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“…However, they require several seconds or even several minutes to acquire an image [25]: hence, they cannot capture the dynamic displacements. They can be only used for long-term static displacement monitoring of, e.g., glaciers [28], landslides [29,30], dams [14,31,32], etc.…”

Section: Introductionmentioning

confidence: 99%

Ground-Based Radar Interferometry for Monitoring the Dynamic Performance of a Multitrack Steel Truss High-Speed Railway Bridge

et al. 2020

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With the continuous expansion of the high-speed railway network in China, long-span railway bridges carrying multiple tracks demand reliable and fast testing procedures and techniques. Bridge dynamic behavior analysis is a critical process in ensuring safe operation of structures. In this study, we present some experimental results of the vibration monitoring of a four-track high-speed railway bridge with a metro–track on each side: the Nanjing–Dashengguan high-speed railway bridge (NDHRB). The results were obtained using a terrestrial microwave radar interferometer named IBIS-S. The radar measurements were interpreted with the support of lidar point clouds. The results of the bridge dynamic response under different loading conditions, including high-speed trains, metro and wind were compared with the existing bridge structure health monitoring (SHM) system, underlining the high spatial (0.5 m) and temporal resolutions (50 Hz–200 Hz) of this technique for railway bridge dynamic monitoring. The detailed results can help engineers capturing the maximum train-induced bridge displacement. The bridge was also monitored by the radar from a lateral position with respect to the bridge longitudinal direction. This allowed us to have a more exhaustive description of the bridge dynamic behavior. The different effects induced by the passage of trains through different tracks and directions were distinguished. In addition, the space deformation map of the wide bridge deck under the eccentric load of trains, especially along the lateral direction (30 m), can help evaluating the running stability of high-speed trains.

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“…A number of PS methods for satellite-borne SAR systems have been proposed [8][9][10][11][12][13]. With the extensive application of this technique in satellite-borne SAR systems, the PS technique has been started to be used to address certain key issues in ground-based SAR (GB-SAR) systems, e.g., the effects of temporal decoherence, atmospheric disturbances, and noise on the accurate determination of deformation [5,[14][15][16][17][18][19][20]. At first, GB-SAR systems were primarily used for monitoring various types of landslide masses.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the monitoring of natural targets, in 1999, Tarchi took the lead in applying the GB-SAR technique to the monitoring of the external appearance of dams. Gradually, Alba et al [32], Luzi et al [33], Qiu et al [17], and Huang et al [18] used the GB-SAR technique to realize the high accuracy (can be up to 0.1 mm), noncontact monitoring of the external appearance of various dams [19,34]. is technique has also been applied to the safety monitoring and provision of disaster warning for artificial facilities [14,22,25,[34][35][36][37][38][39] such as municipal engineering structures [40,41] and river embankments [42][43][44].…”

Section: Introductionmentioning

confidence: 99%

“…ere are consistent effects from atmospheric disturbances, temporal decoherence, phase wrapping, and noise in all the applications of the GB-SAR technique, severely restricting the accurate retrieval of high-accuracy deformation information and significantly limiting the advantages (high accuracy, high resolution, and flexible operation) of the GB-SAR technique. us, it is necessary to make full use of the properties of PSs to search for a sufficient number of highly temporally and spatially coherent PS point targets and investigate PS extraction methods suitable for GB-SAR data to compensate for the effects of the temporal and spatial decoherence, atmospheric disturbances, and noise on the accurate retrieval of deformation information from GB-SAR data [5,[14][15][16][17][18][19][20] to achieve all-weather, high-accuracy (theoretically of the submillimetre order), and high-resolution displacement monitoring over a large area. Hence, effective PS extraction has become the key to the realization of the powerful role of PSs in the GB-SAR technique.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PS Selection Method for and Application to GB‐SAR Monitoring of Dam Deformation

Xiang

Chen

Wang

et al. 2019

Advances in Civil Engineering

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Ground-based synthetic aperture radar (GB-SAR) is a relatively new technique that can be used to monitor the deformation of large-volume targets, such as dams, slopes, and bridges. In this study, the permanent scatterer (PS) technique is used to address the issues encountered in the continuous monitoring of the external deformation of an arch-gravity dam in a hydraulic and hydropower engineering structure in Hubei, China; the technique includes large image data sizes, high accuracy requirements, a susceptibility of the monitoring data to atmospheric disturbances, complex phase unwrapping, and pronounced decoherence. Through an in-depth investigation of PS extraction methods, a combined PS selection (CPSS) method is proposed by fully taking advantage of the signal amplitude and phase information in the monitored scene. The principle and implementation of CPSS are primarily studied. In addition, preliminarily selected PS candidates are directly used to construct and update a triangular irregular network (TIN) to maintain the stability of the subsequent Delaunay TIN. To implement this method, a differential-phase standard-deviation threshold method is proposed to extract PSs that are highly spatially coherent and consistent. Finally, the proposed CPSS was applied to the safety monitoring of the dam. The monitoring results are compared with conventional inverted plumb line monitoring results, and the proposed CPSS is found to be effective and reliable.

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Ground-based synthetic aperture radar interferometry for deformation monitoring: a case study at Geheyan Dam, China

Cited by 12 publications

References 20 publications

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

Geodetic and Remote-Sensing Sensors for Dam Deformation Monitoring

Ground-Based Radar Interferometry for Monitoring the Dynamic Performance of a Multitrack Steel Truss High-Speed Railway Bridge

PS Selection Method for and Application to GB‐SAR Monitoring of Dam Deformation

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