24.2.2.6.11 Deformation of Bridges, Monitor Bridges, Other Structures

Chapter Contents (Back)
Bridge. Deformation. Some related papers in:
See also Inspection -- Pavement, Road Surface, Asphalt, Concrete.
See also Bridge Detection and Extraction Systems.

Pieraccini, M., Fratini, M., Parrini, F., Atzeni, C.,
Dynamic Monitoring of Bridges Using a High-Speed Coherent Radar,
GeoRS(44), No. 11, November 2006, pp. 3284-3288.
IEEE DOI 0611
BibRef

Karila, K.[Kirsi], Karjalainen, M.[Mika], Hyyppä, J.[Juha], Koskinen, J.[Jarkko], Saaranen, V.[Veikko], Rouhiainen, P.[Paavo],
A Comparison of Precise Leveling and Persistent Scatterer SAR Interferometry for Building Subsidence Rate Measurement,
IJGI(2), No. 3, 2013, pp. 797-816.
DOI Link 1310
BibRef

Belli, K., Rappaport, C.M., Zhan, H., Wadia-Fascetti, S.,
Effectiveness of 2-D and 2.5-D FDTD Ground-Penetrating Radar Modeling for Bridge-Deck Deterioration Evaluated by 3-D FDTD,
GeoRS(47), No. 11, November 2009, pp. 3656-3663.
IEEE DOI 0911
BibRef

Ma, P.F.[Pei-Feng], Lin, H.[Hui], Lan, H.X.[Heng-Xing], Chen, F.L.[Fu-Long],
Multi-dimensional SAR tomography for monitoring the deformation of newly built concrete buildings,
PandRS(106), No. 1, 2015, pp. 118-128.
Elsevier DOI 1507
Multi-dimensional SAR tomography BibRef

Kaur, P., Dana, K.J., Romero, F.A., Gucunski, N.,
Automated GPR Rebar Analysis for Robotic Bridge Deck Evaluation,
Cyber(46), No. 10, October 2016, pp. 2265-2276.
IEEE DOI 1610
bridges (structures) BibRef

Kaloop, M.R.[Mosbeh R.], Hu, J.W.[Jong Wan], Elbeltagi, E.[Emad],
Time-Series and Frequency-Spectrum Correlation Analysis of Bridge Performance Based on a Real-Time Strain Monitoring System,
IJGI(5), No. 5, 2016, pp. 61.
DOI Link 1606
BibRef

Khan, S.M., Atamturktur, S., Chowdhury, M., Rahman, M.,
Integration of Structural Health Monitoring and Intelligent Transportation Systems for Bridge Condition Assessment: Current Status and Future Direction,
ITS(17), No. 8, August 2016, pp. 2107-2122.
IEEE DOI 1608
Bridges BibRef

Huang, Q.H.[Qi-Huan], Crosetto, M.[Michele], Monserrat, O.[Oriol], Crippa, B.[Bruno],
Displacement monitoring and modelling of a high-speed railway bridge using C-band Sentinel-1 data,
PandRS(128), No. 1, 2017, pp. 204-211.
Elsevier DOI 1706
SAR BibRef

Kang, J.[Jian], Wang, Y.Y.[Yuan-Yuan], Körner, M.[Marco], Zhu, X.X.[Xiao Xiang],
Robust Object-Based Multipass InSAR Deformation Reconstruction,
GeoRS(55), No. 8, August 2017, pp. 4239-4251.
IEEE DOI 1708
Bridges, Deformable models, Image reconstruction, Optimization, Robustness, Synthetic aperture radar, Tensile stress, Bridge detection, SAR interferometry (InSAR), joint deformation reconstruction, object-based, synthetic, aperture, radar, (SAR) BibRef

Kang, J.[Jian], Wang, Y.Y.[Yuan-Yuan], Schmitt, M.[Michael], Zhu, X.X.[Xiao Xiang],
Object-Based Multipass InSAR via Robust Low-Rank Tensor Decomposition,
GeoRS(56), No. 6, June 2018, pp. 3062-3077.
IEEE DOI 1806
Covariance matrices, Matrix decomposition, Principal component analysis, Robustness, Strain, tensor decomposition BibRef

Kang, J.[Jian], Wang, Y.Y.[Yuan-Yuan], Zhu, X.X.[Xiao Xiang],
Multipass SAR Interferometry Based on Total Variation Regularized Robust Low Rank Tensor Decomposition,
GeoRS(58), No. 8, August 2020, pp. 5354-5366.
IEEE DOI 2007
Tensors, TV, Strain, Image reconstruction, Synthetic aperture radar, Parameter estimation, Semantics, Inteferometric SAR (InSAR), total variation (TV) BibRef

Zhao, J.W.[Jing-Wen], Wu, J.C.[Ji-Cang], Ding, X.L.[Xiao-Li], Wang, M.Z.[Ming-Zhou],
Elevation Extraction and Deformation Monitoring by Multitemporal InSAR of Lupu Bridge in Shanghai,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Kaloop, M.R.[Mosbeh R.], Elbeltagi, E.[Emad], Hu, J.W.[Jong Wan], Elrefai, A.[Ahmed],
Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Dumoulin, J.[Jean], Averty, R.[Rodolphe],
Infrared imaging system monitors transportation structures in real time,
SPIE(Newsroom), January 23, 2014
DOI Link 1412
A thermal measurement system architecture designed for real-time, long-term monitoring of transportation infrastructures was evaluated on a bridge in Switzerland. BibRef

Chen, Q.[Qusen], Jiang, W.P.[Wei-Ping], Meng, X.L.[Xiao-Lin], Jiang, P.[Peng], Wang, K.[Kaihua], Xie, Y.[Yilin], Ye, J.[Jun],
Vertical Deformation Monitoring of the Suspension Bridge Tower Using GNSS: A Case Study of the Forth Road Bridge in the UK,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Liu, X.L.[Xiang-Lei], Lu, Z.[Zhao], Yang, W.X.[Wan-Xin], Huang, M.[Ming], Tong, X.H.[Xiao-Hua],
Dynamic Monitoring and Vibration Analysis of Ancient Bridges by Ground-Based Microwave Interferometry and the ESMD Method,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Pérez, J.P.C.[Juan Pedro Cortés], de Sanjosé Blasco, J.J.[José Juan], Atkinson, A.D.J.[Alan D. J.], del Río Pérez, L.M.[Luis Mariano],
Assessment of the Structural Integrity of the Roman Bridge of Alcántara (Spain) Using TLS and GPR,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Yang, Q.[Qin], Ke, Y.H.[Ying-Hai], Zhang, D.Y.[Dong-Yi], Chen, B.B.[Bei-Bei], Gong, H.L.[Hui-Li], Lv, M.Y.[Ming-Yuan], Zhu, L.[Lin], Li, X.J.[Xiao-Juan],
Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Zhu, M.[Mao], Wan, X.L.[Xiao-Li], Fei, B.G.[Bi-Gang], Qiao, Z.P.[Zhu-Ping], Ge, C.Q.[Chun-Qing], Minati, F.[Federico], Vecchioli, F.[Francesco], Li, J.P.[Ji-Ping], Costantini, M.[Mario],
Detection of Building and Infrastructure Instabilities by Automatic Spatiotemporal Analysis of Satellite SAR Interferometry Measurements,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Huang, Q.H.[Qi-Huan], Monserrat, O.[Oriol], Crosetto, M.[Michele], Crippa, B.[Bruno], Wang, Y.F.[Yi-Fan], Jiang, J.F.[Jian-Feng], Ding, Y.L.[You-Liang],
Displacement Monitoring and Health Evaluation of Two Bridges Using Sentinel-1 SAR Images,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Zhang, B.C.[Bo-Chen], Ding, X.L.[Xiao-Li], Werner, C.[Charles], Tan, K.[Kai], Zhang, B.[Bin], Jiang, M.[Mi], Zhao, J.W.[Jing-Wen], Xu, Y.L.[You-Lin],
Dynamic displacement monitoring of long-span bridges with a microwave radar interferometer,
PandRS(138), 2018, pp. 252-264.
Elsevier DOI 1804
Structural health monitoring (SHM), Dynamics, Displacements, Microwave radar interferometer, Long-span bridge BibRef

Matarazzo, T.J., Santi, P., Pakzad, S.N., Carter, K., Ratti, C., Moaveni, B., Osgood, C., Jacob, N.,
Crowdsensing Framework for Monitoring Bridge Vibrations Using Moving Smartphones,
PIEEE(106), No. 4, April 2018, pp. 577-593.
IEEE DOI 1804
Bridges, Inspection, Public infrastructure, Smart buildings, Smart cities, Smart phones, Urban areas, Vibrations, Big Data, Wireless Sensor Networks BibRef

Li, Y.D.[Yun-Dong], Zhao, W.G.[Wei-Gang], Zhang, X.Y.[Xue-Yan], Zhou, Q.C.[Qi-Chen],
A Two-Stage Crack Detection Method for Concrete Bridges Using Convolutional Neural Networks,
IEICE(E101-D), No. 12, December 2018, pp. 3249-3252.
WWW Link. 1812
BibRef

Liu, X.L.[Xiang-Lei], Wang, P.P.[Pei-Pei], Lu, Z.[Zhao], Gao, K.[Kai], Wang, H.[Hui], Jiao, C.[Chiyu], Zhang, X.D.[Xue-Dong],
Damage Detection and Analysis of Urban Bridges Using Terrestrial Laser Scanning (TLS), Ground-Based Microwave Interferometry, and Permanent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR),
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Jung, J.K.[Jung-Kyo], Kim, D.J.[Duk-Jin], Vadivel, S.K.P.[Suresh Krishnan Palanisamy], Yun, S.H.[Sang-Ho],
Long-Term Deflection Monitoring for Bridges Using X and C-Band Time-Series SAR Interferometry,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Anghel, A., Tudose, M., Cacoveanu, R., Datcu, M., Nico, G., Masci, O., Dong-Yang, A., Tian, W., Hu, C., Ding, Z., Nies, H., Loffeld, O., Atencia, D., Huaman, S.G., Medella, A., Moreira, J.,
Compact Ground-Based Interferometric Synthetic Aperture Radar: Short-range structural monitoring,
SPMag(36), No. 4, July 2019, pp. 42-52.
IEEE DOI 1907
Spaceborne radar, Synthetic aperture radar, Monitoring, Remote sensing systems, Apertures, Atmospheric modeling BibRef

Yamaguchi, T., Mizutani, T., Tarumi, M., Su, D.,
Sensitive Damage Detection of Reinforced Concrete Bridge Slab by 'Time-Variant Deconvolution' of SHF-Band Radar Signal,
GeoRS(57), No. 3, March 2019, pp. 1478-1488.
IEEE DOI 1903
bridges (structures), concrete, condition monitoring, cracks, deconvolution, ground penetrating radar, radar imaging, time-variant deconvolution BibRef

Gawronek, P.[Pelagia], Makuch, M.[Maria],
TLS Measurement during Static Load Testing of a Railway Bridge,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Ma, P.F.[Pei-Feng], Li, T.[Tao], Fang, C.Y.[Chao-Yang], Lin, H.[Hui],
A tentative test for measuring the sub-millimeter settlement and uplift of a high-speed railway bridge using COSMO-SkyMed images,
PandRS(155), 2019, pp. 1-12.
Elsevier DOI 1908
InSAR, Persistent and distributed scatterer, High-speed railway bridge, Sub-millimeter measurement, COSMO-SkyMed BibRef

León-Robles, C.A.[Carlos A.], Reinoso-Gordo, J.F.[Juan F.], González-Quiñones, J.J.[Juan J.],
Heritage Building Information Modeling (H-BIM) Applied to A Stone Bridge,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Sánchez-Aparicio, L.J.[Luis Javier], Herrero-Huerta, M.[Mónica], Esposito, R.[Rita], Schipper, H.R.[Hugo Roel], González-Aguilera, D.[Diego],
Photogrammetric Solution for Analysis of Out-Of-Plane Movements of a Masonry Structure in a Large-Scale Laboratory Experiment,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Mistretta, F.[Fausto], Sanna, G.[Giannina], Stochino, F.[Flavio], Vacca, G.[Giuseppina],
Structure from Motion Point Clouds for Structural Monitoring,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Qin, X.Q.[Xiao-Qiong], Ding, X.L.[Xiao-Li], Liao, M.S.[Ming-Sheng], Zhang, L.[Lu], Wang, C.S.[Chi-Sheng],
A bridge-tailored multi-temporal DInSAR approach for remote exploration of deformation characteristics and mechanisms of complexly structured bridges,
PandRS(156), 2019, pp. 27-50.
Elsevier DOI 1909
Bridge, Deformation characteristics, Mechanisms, 3D visualization, Time-series DInSAR BibRef

Pieraccini, M.[Massimiliano], Miccinesi, L.[Lapo], Nejad, A.A.[Ali Abdorazzagh], Fard, A.N.N.[Azadeh Naderi Nejad],
Experimental Dynamic Impact Factor Assessment of Railway Bridges through a Radar Interferometer,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Xia, Y.[Ye], Jian, X.D.[Xu-Dong], Yan, B.[Bin], Su, D.[Dan],
Infrastructure Safety Oriented Traffic Load Monitoring Using Multi-Sensor and Single Camera for Short and Medium Span Bridges,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Aldosari, M.[Mohammed], Al-Rawabdeh, A.[Abdulla], Bullock, D.[Darcy], Habib, A.[Ayman],
A Mobile LiDAR for Monitoring Mechanically Stabilized Earth Walls with Textured Precast Concrete Panels,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Yang, Y.[Yang], Cheng, Q.[Quan], Zhu, Y.H.[Yuan-Hao], Wang, L.[Lilei], Jin, R.[Ruoyu],
Feasibility Study of Tractor-Test Vehicle Technique for Practical Structural Condition Assessment of Beam-Like Bridge Deck,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Hamzic, A.[Adis], Avdagic, Z.[Zikrija], Besic, I.[Ingmar],
Multistage Cascade Predictor of Structural Elements Movement in the Deformation Analysis of Large Objects Based on Time Series Influencing Factors,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Kermarrec, G.[Gaël], Kargoll, B.[Boris], Alkhatib, H.[Hamza],
Deformation Analysis Using B-Spline Surface with Correlated Terrestrial Laser Scanner Observations: A Bridge Under Load,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Alva, R.E.[Rodrigo E.], Pujades, L.G.[Luis G.], González-Drigo, R.[Ramón], Luzi, G.[Guido], Caselles, O.[Oriol], Pinzón, L.A.[Luis A.],
Dynamic Monitoring of a Mid-Rise Building by Real-Aperture Radar Interferometer: Advantages and Limitations,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Hu, W.H.[Wei-Hua], Xu, Z.M.[Zeng-Mao], Liu, M.Y.[Ming-Yue], Tang, D.H.[De-Hui], Lu, W.[Wei], Li, Z.H.[Zuo-Hua], Teng, J.[Jun], Han, X.H.[Xiao-Hui], Said, S.[Samir], Rohrmann, R.G.[Rolf. G.],
Estimation of the Lateral Dynamic Displacement of High-Rise Buildings under Wind Load Based on Fusion of a Remote Sensing Vibrometer and an Inclinometer,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Bakon, M.[Matus], Czikhardt, R.[Richard], Papco, J.[Juraj], Barlak, J.[Jan], Rovnak, M.[Martin], Adamisin, P.[Peter], Perissin, D.[Daniele],
remotIO: A Sentinel-1 Multi-Temporal InSAR Infrastructure Monitoring Service with Automatic Updates and Data Mining Capabilities,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Huang, Q.H.[Qi-Huan], Wang, Y.F.[Yi-Fan], Luzi, G.[Guido], Crosetto, M.[Michele], Monserrat, O.[Oriol], Jiang, J.F.[Jian-Feng], Zhao, H.W.[Han-Wei], Ding, Y.L.[You-Liang],
Ground-Based Radar Interferometry for Monitoring the Dynamic Performance of a Multitrack Steel Truss High-Speed Railway Bridge,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Zhang, G.W.[Guang-Wei], Wu, Y.[Yilin], Zhao, W.J.[Wen-Ju], Zhang, J.[Jian],
Radar-based multipoint displacement measurements of a 1200-m-long suspension bridge,
PandRS(167), 2020, pp. 71 - 84.
Elsevier DOI 2008
Microwave interferometric radar, Non-contact measurement, Long-span bridge, Vibration, Displacement influence line BibRef

Yu, J.[Jiayong], Fang, Z.[Zhen], Meng, X.L.[Xiao-Lin], Xie, Y.[Yilin], Fan, Q.[Qian],
Measurement of Quasi-Static and Dynamic Displacements of Footbridges Using the Composite Instrument of a Smartstation and an Accelerometer: Case Studies,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Persico, R.[Raffaele], Morelli, G.[Gianfranco],
Combined Migrations and Time-Depth Conversions in GPR Prospecting: Application to Reinforced Concrete,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Kwiatkowski, J.[Jacek], Anigacz, W.[Wojciech], Beben, D.[Damian],
A Case Study on the Noncontact Inventory of the Oldest European Cast-iron Bridge Using Terrestrial Laser Scanning and Photogrammetric Techniques,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Vien, B.S.[Benjamin Steven], Wong, L.[Leslie], Kuen, T.[Thomas], Courtney, F.[Frank], Kodikara, J.[Jayantha], Chiu, W.K.[Wing Kong],
Strain Monitoring Strategy of Deformed Membrane Cover Using Unmanned Aerial Vehicle-Assisted 3D Photogrammetry,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Jung, S.[Sungwook], Choi, D.[Duckyu], Song, S.W.[Seung-Won], Myung, H.[Hyun],
Bridge Inspection Using Unmanned Aerial Vehicle Based on HG-SLAM: Hierarchical Graph-based SLAM,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Lyu, M.Y.[Ming-Yuan], Ke, Y.H.[Ying-Hai], Li, X.J.[Xiao-Juan], Zhu, L.[Lin], Guo, L.[Lin], Gong, H.[Huili],
Detection of Seasonal Deformation of Highway Overpasses Using the PS-InSAR Technique: A Case Study in Beijing Urban Area,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Selvakumaran, S., Rossi, C., Marinoni, A., Webb, G., Bennetts, J., Barton, E., Plank, S., Middleton, C.,
Combined InSAR and Terrestrial Structural Monitoring of Bridges,
GeoRS(58), No. 10, October 2020, pp. 7141-7153.
IEEE DOI 2009
Bridges, Monitoring, Inspection, Satellites, Synthetic aperture radar, Rivers, Spaceborne radar, Bridge, TerraSAR-X BibRef

Zollini, S.[Sara], Alicandro, M.[Maria], Dominici, D.[Donatella], Quaresima, R.[Raimondo], Giallonardo, M.[Marco],
UAV Photogrammetry for Concrete Bridge Inspection Using Object-Based Image Analysis (OBIA),
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Yang, M.L.[Ming-Liang], Chang, Z.Y.[Zheng-Yan], Xu, G.N.[Ge-Ning], Wang, C.[Chao], Wang, P.[Peng],
Analysis on fatigue life of overhead travelling crane girder under impact load for sustainable transport system,
IET-ITS(14), No. 11, November 2020, pp. 1426-1432.
DOI Link 2010
BibRef

Kuras, P.[Przemyslaw], Ortyl, L.[Lukasz], Owerko, T.[Tomasz], Salamak, M.[Marek], Lazinski, P.[Piotr],
GB-SAR in the Diagnosis of Critical City Infrastructure: A Case Study of a Load Test on the Long Tram Extradosed Bridge,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Zheng, M.[Minjuan], Lei, Z.J.[Zhi-Jun], Zhang, K.[Kun],
Intelligent detection of building cracks based on deep learning,
IVC(103), 2020, pp. 103987.
Elsevier DOI 2011
Deep learning, Building crack detection, Multi-feature fusion, Image segmentation, RFCN, FCN, R-CNN BibRef

Kim, H.[Hyunsoo], Kim, C.[Changwan],
Deep-Learning-Based Classification of Point Clouds for Bridge Inspection,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Rashidi, M.[Maria], Mohammadi, M.[Masoud], Kivi, S.S.[Saba Sadeghlou], Abdolvand, M.M.[Mohammad Mehdi], Truong-Hong, L.[Linh], Samali, B.[Bijan],
A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Biondi, F.[Filippo], Addabbo, P.[Pia], Ullo, S.L.[Silvia Liberata], Clemente, C.[Carmine], Orlando, D.[Danilo],
Perspectives on the Structural Health Monitoring of Bridges by Synthetic Aperture Radar,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Milillo, P.[Pietro], Giardina, G.[Giorgia], Perissin, D.[Daniele], Milillo, G.[Giovanni], Coletta, A.[Alessandro], Terranova, C.[Carlo],
Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef
And:
Reply to Comments,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012

See also Comment on Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy by Milillo et al. (2019). BibRef

Lanari, R.[Riccardo], Reale, D.[Diego], Bonano, M.[Manuela], Verde, S.[Simona], Muhammad, Y.[Yasir], Fornaro, G.[Gianfranco], Casu, F.[Francesco], Manunta, M.[Michele],
Comment on 'Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy' by Milillo et al. (2019),
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012

See also Pre-Collapse Space Geodetic Observations of Critical Infrastructure: The Morandi Bridge, Genoa, Italy. BibRef

Schlögl, M.[Matthias], Widhalm, B.[Barbara], Avian, M.[Michael],
Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-1,
PandRS(172), 2021, pp. 132-146.
Elsevier DOI 2101
Persistent scatterer interferometry, Infrastructure monitoring, Sentinel-1, Seasonal trend decomposition BibRef

Xiong, S.T.[Si-Ting], Wang, C.S.[Chi-Sheng], Qin, X.Q.[Xiao-Qiong], Zhang, B.[Bochen], Li, Q.Q.[Qing-Quan],
Time-Series Analysis on Persistent Scatter-Interferometric Synthetic Aperture Radar (PS-InSAR) Derived Displacements of the Hong Kong-Zhuhai-Macao Bridge (HZMB) from Sentinel-1A Observations,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Pospisil, K.[Karel], Manychova, M.[Monika], Stryk, J.[Josef], Korenska, M.[Marta], Matula, R.[Radek], Svoboda, V.[Vaclav],
Diagnostics of Reinforcement Conditions in Concrete Structures by GPR, Impact-Echo Method and Metal Magnetic Memory Method,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Li, Y.J.[Yi-Jing], Liu, P.[Ping], Li, H.[Huokun], Huang, F.[Faming],
A Comparison Method for 3D Laser Point Clouds in Displacement Change Detection for Arch Dams,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Gong, Y.P.[Yi-Ping], Zhang, F.[Fan], Jia, X.Y.[Xiang-Yang], Huang, X.F.[Xian-Feng], Li, D.R.[De-Ren], Mao, Z.[Zhu],
Deep Neural Networks for Quantitative Damage Evaluation of Building Losses Using Aerial Oblique Images: Case Study on the Great Wall (China),
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Holst, C.[Christoph], Neuner, H.[Hans],
Spatio-Temporal Models for Vibration Monitoring of Elongated Structures Using Profile Laser Scans,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Feroz, S.[Sainab], Dabous, S.A.[Saleh Abu],
UAV-Based Remote Sensing Applications for Bridge Condition Assessment,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Jia, D.F.[Dong-Feng], Zhang, W.P.[Wei-Ping], Wang, Y.H.[Yu-Hao], Liu, Y.P.[Yan-Ping],
A New Approach for Cylindrical Steel Structure Deformation Monitoring by Dense Point Clouds,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Pourzeynali, S.[Solmaz], Zhu, X.[Xinqun], Zadeh, A.G.[Ali Ghari], Rashidi, M.[Maria], Samali, B.[Bijan],
Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-ß Method: Numerical and Experimental Studies,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zhang, R.C.[Rui-Cheng], Gao, C.F.[Cheng-Fa], Zhao, Q.[Qing], Peng, Z.[Zihan], Shang, R.[Rui],
An Improved Multipath Mitigation Method and Its Application in Real-Time Bridge Deformation Monitoring,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Campbell, K.E.J.[Kris E. J.], Ruffell, A.[Alastair], Pringle, J.[Jamie], Hughes, D.[David], Taylor, S.[Su], Devlin, B.[Brian],
Bridge Foundation River Scour and Infill Characterisation Using Water-Penetrating Radar,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Mirzazade, A.[Ali], Popescu, C.[Cosmin], Blanksvärd, T.[Thomas], Täljsten, B.[Björn],
Workflow for Off-Site Bridge Inspection Using Automatic Damage Detection-Case Study of the Pahtajokk Bridge,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Walach, D.[Daniel], Kaczmarczyk, G.P.[Grzegorz Piotr],
Application of TLS Remote Sensing Data in the Analysis of the Load-Carrying Capacity of Structural Steel Elements,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Chemisky, B.[Bertrand], Menna, F.[Fabio], Nocerino, E.[Erica], Drap, P.[Pierre],
Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
offshore structures. BibRef

Muszynski, Z.[Zbigniew], Rybak, J.[Jaroslaw],
Application of Geodetic Measuring Methods for Reliable Evaluation of Static Load Test Results of Foundation Piles,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Mohammadi, M.[Masoud], Rashidi, M.[Maria], Mousavi, V.[Vahid], Karami, A.[Ali], Yu, Y.[Yang], Samali, B.[Bijan],
Quality Evaluation of Digital Twins Generated Based on UAV Photogrammetry and TLS: Bridge Case Study,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Liu, W.[Wen], Maruyama, Y.[Yoshihisa], Yamazaki, F.[Fumio],
Detection of Collapsed Bridges from Multi-Temporal SAR Intensity Images by Machine Learning Techniques,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Sadeghi, F.[Faraz], Zhu, X.Q.[Xin-Qun], Li, J.C.[Jian-Chun], Rashidi, M.[Maria],
A Novel Slip Sensory System for Interfacial Condition Monitoring of Steel-Concrete Composite Bridges,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Fang, Z.[Zhen], Yu, J.[Jiayong], Meng, X.L.[Xiao-Lin],
Modal Parameters Identification of Bridge Structures from GNSS Data Using the Improved Empirical Wavelet Transform,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

He, W.[Wei], Liang, X.D.[Xiao-Dong], Deng, L.[Lu], Kong, X.[Xuan], Xie, H.[Hong],
Axle Configuration and Weight Sensing for Moving Vehicles on Bridges Based on the Clustering and Gradient Method,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Xia, Y.[Ye], Lei, X.M.[Xiao-Ming], Wang, P.[Peng], Sun, L.M.[Li-Min],
Artificial Intelligence Based Structural Assessment for Regional Short- and Medium-Span Concrete Beam Bridges with Inspection Information,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Olaszek, P.[Piotr], Swiercz, A.[Andrzej], Boscagli, F.[Francesco],
The Integration of Two Interferometric Radars for Measuring Dynamic Displacement of Bridges,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Harmening, C.[Corinna], Hobmaier, C.[Christoph], Neuner, H.[Hans],
Laser Scanner-Based Deformation Analysis Using Approximating B-Spline Surfaces,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhao, D.D.[Dong-Dong], He, W.[Wei], Deng, L.[Lu], Wu, Y.H.[Yu-Han], Xie, H.[Hong], Dai, J.J.[Jian-Jun],
Trajectory Tracking and Load Monitoring for Moving Vehicles on Bridge Based on Axle Position and Dual Camera Vision,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Pourzeynali, S.[Solmaz], Zhu, X.[Xinqun], Zadeh, A.G.[Ali Ghari], Rashidi, M.[Maria], Samali, B.[Bijan],
Simultaneous Identification of Bridge Structural Damage and Moving Loads Using the Explicit Form of Newmark-beta Method: Numerical and Experimental Studies,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, R.J.[Run-Jie], Zhang, J.M.[Jia-Meng], Liu, X.L.[Xiang-Lei],
A Most-Unfavorable-Condition Method for Bridge-Damage Detection and Analysis Using PSP-InSAR,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Zhang, D.S.[Dong-Sheng], Yu, Z.Y.[Zhen-Yang], Xu, Y.[Yan], Ding, L.[Li], Ding, H.[Hu], Yu, Q.F.[Qi-Feng], Su, Z.L.[Zhi-Long],
GNSS Aided Long-Range 3D Displacement Sensing for High-Rise Structures with Two Non-Overlapping Cameras,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Golebiowski, T.[Tomislaw], Piwakowski, B.[Bogdan], Cwiklik, M.[Michal],
Application of Complex Geophysical Methods for the Detection of Unconsolidated Zones in Flood Dikes,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Mohammadi, M.[Masoud], Rashidi, M.[Maria], Mousavi, V.[Vahid], Yu, Y.[Yang], Samali, B.[Bijan],
Application of TLS Method in Digitization of Bridge Infrastructures: A Path to BrIM Development,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Rahman, M.A.[Mohammed Abdul], Zayed, T.[Tarek], Bagchi, A.[Ashutosh],
Deterioration Mapping of RC Bridge Elements Based on Automated Analysis of GPR Images,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Cano, M.[Miguel], Pastor, J.L.[José Luis], Tomás, R.[Roberto], Riquelme, A.[Adrián], Asensio, J.L.[José Luis],
A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Scianna, A.[Andrea], Gaglio, G.F.[Giuseppe Fulvio], La Guardia, M.[Marcello],
Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Ha, Y.S.[Yong-Soo], Lee, J.[Jeongki], Kim, Y.T.[Yun-Tae],
Performance Evaluation of Feature Matching Techniques for Detecting Reinforced Soil Retaining Wall Displacement,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Galdelli, A.[Alessandro], d'Imperio, M.[Mariapaola], Marchello, G.[Gabriele], Mancini, A.[Adriano], Scaccia, M.[Massimiliano], Sasso, M.[Michele], Frontoni, E.[Emanuele], Cannella, F.[Ferdinando],
A Novel Remote Visual Inspection System for Bridge Predictive Maintenance,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Klanica, R.[Radek], Grison, H.[Hana], Šteffl, J.[Jindrich], Beránek, R.[Roman],
Assessing the Volume of Defensive Structures for Architectural Energetics Analysis Using 3D Electrical Resistivity Tomography,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Qi, S.S.[Shun-Shun], Li, G.Y.[Gou-Yu], Chen, D.[Dun], Chai, M.T.[Ming-Tang], Zhou, Y.[Yu], Du, Q.S.[Qing-Song], Cao, Y.P.[Ya-Peng], Tang, L.Y.[Li-Yun], Jia, H.L.[Hai-Liang],
Damage Properties of the Block-Stone Embankment in the Qinghai-Tibet Highway Using Ground-Penetrating Radar Imagery,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Graves, W.[William], Aminfar, K.[Kiyarash], Lattanzi, D.[David],
Full-Scale Highway Bridge Deformation Tracking via Photogrammetry and Remote Sensing,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Entezami, A.[Alireza], Arslan, A.N.[Ali Nadir], de Michele, C.[Carlo], Behkamal, B.[Bahareh],
Online Hybrid Learning Methods for Real-Time Structural Health Monitoring Using Remote Sensing and Small Displacement Data,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Pan, Y.[Yue], Wang, D.L.[Da-Lei], Dong, Y.Q.[Yi-Qing], Peng, B.[Bo],
A Novel Vision-Based Framework for Identifying Dynamic Vehicle Loads on Long-Span Bridges: A Case Study of Jiangyin Bridge, China,
ITS(23), No. 8, August 2022, pp. 10441-10457.
IEEE DOI 2208
Bridges, Vehicle dynamics, Cameras, Load modeling, Kalman filters, Estimation, Data mining, Long-span bridge, computer vision, vehicle detection and tracking BibRef

Qin, Y.[Yang], Li, Y.[Yingmin], Liu, G.[Gang],
Separation of the Temperature Effect on Structure Responses via LSTM: Particle Filter Method Considering Outlier from Remote Cloud Platforms,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Li, H.Z.[Hong-Ze], Chen, Y.L.[Yan-Li], Liu, J.[Jia], Zhang, Z.[Zheng], Zhu, H.[Hang],
Unmanned Aircraft System Applications in Damage Detection and Service Life Prediction for Bridges: A Review,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yu, S.S.[Shan-Shan], Su, Z.Y.[Zi-Yang], Zhang, J.[Jian],
Robust optical displacement measurement of bridge structures in complex environments,
PandRS(192), 2022, pp. 395-408.
Elsevier DOI 2209
Optical measurement, Bridge structure, Illumination change, Center detection, Vibration correction, Integrated system BibRef

Qu, X.Y.[Xuan-Yu], Shu, B.[Bao], Ding, X.L.[Xiao-Li], Lu, Y.W.[Yang-Wei], Li, G.[Guopeng], Wang, L.[Li],
Experimental Study of Accuracy of High-Rate GNSS in Context of Structural Health Monitoring,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zoubir, H.[Hajar], Rguig, M.[Mustapha], El Aroussi, M.[Mohamed], Chehri, A.[Abdellah], Saadane, R.[Rachid], Jeon, G.G.[Gwang-Gil],
Concrete Bridge Defects Identification and Localization Based on Classification Deep Convolutional Neural Networks and Transfer Learning,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhao, L.[Lidu], Yang, Y.H.[Yi-Hui], Xiang, Z.F.[Zhong-Fu], Zhang, S.C.[Shuang-Cheng], Li, X.R.[Xin-Rui], Wang, X.[Xuqiao], Ma, X.P.[Xia-Ping], Hu, C.[Chuan], Pan, J.P.[Jian-Ping], Zhou, Y.[Yin], Chen, M.L.[Mao-Lin],
A Novel Low-Cost GNSS Solution for the Real-Time Deformation Monitoring of Cable Saddle Pushing: A Case Study of Guojiatuo Suspension Bridge,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Dan, D.[Danhui], Ying, Y.F.[Yu-Feng], Ge, L.F.[Liang-Fu],
Digital Twin System of Bridges Group Based on Machine Vision Fusion Monitoring of Bridge Traffic Load,
ITS(23), No. 11, November 2022, pp. 22190-22205.
IEEE DOI 2212
Bridges, Load modeling, Monitoring, Data models, Analytical models, Safety, Digital twin, AI-driven machine vision, structural health monitoring BibRef

Li, X.F.[Xiao-Fei], Sun, H.M.[He-Ming], Song, T.[Taiyi], Zhang, T.[Tian], Meng, Q.[Qinghang],
A method of underwater bridge structure damage detection method based on a lightweight deep convolutional network,
IET-IPR(16), No. 14, 2022, pp. 3893-3909.
DOI Link 2212
BibRef

Gonen, S.[Semih], Erduran, E.[Emrah],
A Hybrid Method for Vibration-Based Bridge Damage Detection,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Ismail, M.A.A.[Mohamed A. A.], Schewe, M.[Marvin], Rembe, C.[Christian], Mahmod, M.[Mohamed], Kiehn, M.[Michael],
Traffic-Induced Vibration Monitoring Using Laser Vibrometry: Preliminary Experiments,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Liu, G.[Gang], He, C.H.[Cheng-Hua], Zou, C.[Chunrong], Wang, A.[Anqi],
Displacement Measurement Based on UAV Images Using SURF-Enhanced Camera Calibration Algorithm,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhang, Z.X.[Ze-Xi], Suo, Z.Y.[Zhi-Yong], Tian, F.[Feng], Qi, L.[Lin], Tao, H.[Haihong], Li, Z.F.[Zhen-Fang],
A Novel GB-SAR System Based on TD-MIMO for High-Precision Bridge Vibration Monitoring,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, J.H.[Jie-Hui], Yi, T.Q.[Tian-Qi], Liang, X.[Xiao], Ueda, T.[Tamon],
Application of 3D Laser Scanning Technology Using Laser Radar System to Error Analysis in the Curtain Wall Construction,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Mele, A.[Annalisa], Crosetto, M.[Michele], Miano, A.[Andrea], Prota, A.[Andrea],
ADAfinder Tool Applied to EGMS Data for the Structural Health Monitoring of Urban Settlements,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Jiang, S.[Shang], Zhang, J.[Jian], Wang, W.G.[Wei-Guo], Wang, Y.J.[Ying-Jun],
Automatic Inspection of Bridge Bolts Using Unmanned Aerial Vision and Adaptive Scale Unification-Based Deep Learning,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Yang, Y.[Yang], Lu, H.[Huicheng], Tan, X.K.[Xiao-Kun], Wang, R.Q.[Rui-Qiong], Zhang, Y.[Yao],
Mode Shape Identification and Damage Detection of Bridge by Movable Sensory System,
ITS(24), No. 1, January 2023, pp. 1299-1313.
IEEE DOI 2301
Bridges, Shape, Damping, Vehicle dynamics, Roads, Surface roughness, Rough surfaces, Mode shape identification, element stiffness, field testing BibRef

Talich, M.[Milan], Havrlant, J.[Jan], Soukup, L.[Lubomír], Plachý, T.[Tomáš], Polák, M.[Michal], Antoš, F.[Filip], Ryjácek, P.[Pavel], Stancík, V.[Vojtech],
Accuracy Analysis and Appropriate Strategy for Determining Dynamic and Quasi-Static Bridge Structural Response Using Simultaneous Measurements with Two Real Aperture Ground-Based Radars,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Trias-Blanco, A.[Adriana], Gong, J.[Jie], Moon, F.L.[Franklin L.],
Characterization of Operational Vibrations of Steel-Girder Highway Bridges via LiDAR,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Jaafar, H.A.[Hasan Abdulhussein], Alsadik, B.[Bashar],
Prospects of Consumer-Grade UAVs for Overpass Bridges Pier Pads Alignment,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Jiménez-Martínez, M.J.[María Jesús], Quesada-Olmo, N.[Nieves], Zancajo-Jimeno, J.J.[José Julio], Mostaza-Pérez, T.[Teresa],
Bridge Deformation Analysis Using Time-Differenced Carrier-Phase Technique,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Wang, J.[Jian], Liu, X.[Xu], Liu, F.[Fei], Chen, C.[Cai], Tang, Y.Y.[Yu-Yang],
An Integrated GNSS/MEMS Accelerometer System for Dynamic Structural Response Monitoring under Thunder Loading,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Yin, H.[Han], Tan, C.[Chun], Zhang, W.[Wen], Cao, C.[Chen], Xu, X.C.[Xin-Chuan], Wang, J.[Jia], Chen, J.Q.[Jun-Qi],
Rapid Compaction Monitoring and Quality Control of Embankment Dam Construction Based on UAV Photogrammetry Technology: A Case Study,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Chen, Z.W.[Zhi-Wei], Ruan, X.[Xuzhi], Zhang, Y.[Yao],
Vision-Based Dynamic Response Extraction and Modal Identification of Simple Structures Subject to Ambient Excitation,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Caprino, A.[Amedeo], Puliero, S.[Silvia], Lorenzoni, F.[Filippo], Floris, M.[Mario], da Porto, F.[Francesca],
Satellite SAR Interferometry and On-Site Traditional SHM to Monitor the Post-Earthquake Behavior of the Civic Tower in L'Aquila (Abruzzo Region, Italy),
RS(15), No. 6, 2023, pp. 1587.
DOI Link 2304
BibRef

Feng, W.[Weiwu], Li, Q.[Qiang], Du, W.X.[Wen-Xue], Zhang, D.S.[Dong-Sheng],
Remote 3D Displacement Sensing for Large Structures with Stereo Digital Image Correlation,
RS(15), No. 6, 2023, pp. 1591.
DOI Link 2304
BibRef

Takhirov, S.[Shakhzod], Rakhmonov, B.[Bakhodir], Nafasov, R.[Ravshanbek], Samandarov, A.[Abbos], Sultanova, S.[Sevara],
Laser Scanning and Ambient Vibration Study of Juma Mosque in Khiva (Uzbekistan) with Subsequent Finite Element Modeling of Its Minaret,
RS(15), No. 6, 2023, pp. 1632.
DOI Link 2304
BibRef

Fornasari, G.[Giacomo], Capozzoli, L.[Luigi], Rizzo, E.[Enzo],
Combined GPR and Self-Potential Techniques for Monitoring Steel Rebar Corrosion in Reinforced Concrete Structures: A Laboratory Study,
RS(15), No. 8, 2023, pp. 2206.
DOI Link 2305
BibRef

Hoshyar, A.N.[Azadeh Noori], Rashidi, M.[Maria], Yu, Y.[Yang], Samali, B.[Bijan],
Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study,
RS(15), No. 8, 2023, pp. 1984.
DOI Link 2305
BibRef

Xi, R.J.[Rui-Jie], Jiang, W.P.[Wei-Ping], Xuan, W.[Wei], Xu, D.S.[Dong-Sheng], Yang, J.[Jian], He, L.H.[Li-Hua], Ma, J.[Jun],
Performance Assessment of Structural Monitoring of a Dedicated High-Speed Railway Bridge Using a Moving-Base RTK-GNSS Method,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Behkamal, B.[Bahareh], Entezami, A.[Alireza], de Michele, C.[Carlo], Arslan, A.N.[Ali Nadir],
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
structural health monitoring (SHM) of large-scale civil structures. BibRef

Zeng, K.[Kun], Zeng, S.[Sheng], Huang, H.[Hai], Qiu, T.[Tong], Shen, S.H.[Shi-Hui], Wang, H.[Hui], Feng, S.K.[Song-Kai], Zhang, C.[Cheng],
Sensing Mechanism and Real-Time Bridge Displacement Monitoring for a Laboratory Truss Bridge Using Hybrid Data Fusion,
RS(15), No. 13, 2023, pp. 3444.
DOI Link 2307
BibRef

Behkamal, B.[Bahareh], Entezami, A.[Alireza], de Michele, C.[Carlo], Arslan, A.N.[Ali Nadir],
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models,
RS(15), No. 14, 2023, pp. 3503.
DOI Link 2307
BibRef

Zhang, G.J.[Guo-Jian], Wang, Z.Y.[Zhi-Yang], Sang, W.G.[Wen-Gang], Zhou, B.X.[Bao-Xing], Wang, Z.W.[Zhi-Wei], Yao, G.[Guobiao], Bi, J.X.[Jing-Xue],
Research on Dynamic Deformation Laws of Super High-Rise Buildings and Visualization Based on GB-RAR and LiDAR Technology,
RS(15), No. 14, 2023, pp. 3651.
DOI Link 2307
BibRef

Lin, Y.[Yun], Zhang, L.H.[Ling-Han], Han, H.W.[Hong-Wei], Li, Y.[Yang], Shen, W.J.[Wen-Jie], Wang, Y.P.[Yan-Ping],
Periodic-Filtering Method for Low-SNR Vibration Radar Signal,
RS(15), No. 14, 2023, pp. 3461.
DOI Link 2307
E.g. bridge vibration monitoring. BibRef

Hamunzala, B.[Bennie], Matsumoto, K.[Koji], Nagai, K.[Kohei],
Improved Method for Estimating Construction Year of Road Bridges by Analyzing Landsat Normalized Difference Water Index 2,
RS(15), No. 14, 2023, pp. 3488.
DOI Link 2307
BibRef

Bayaraa, M.[Maral], Rossi, C.[Cristian], Kalaitzis, F.[Freddie], Sheil, B.[Brian],
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure,
RS(15), No. 20, 2023, pp. 4910.
DOI Link 2310
BibRef

Beshr, A.A.A.[Ashraf A. A.], Basha, A.M.[Ali M.], El-Madany, S.A.[Samir A.], El-Azeem, F.A.[Fathi Abd],
Deformation of High Rise Cooling Tower through Projection of Coordinates Resulted from Terrestrial Laser Scanner Observations onto a Vertical Plane,
IJGI(12), No. 10, 2023, pp. 417.
DOI Link 2311
BibRef

Fard, F.[Fariba], Fard, F.S.N.[Fereshteh Sadeghi Naieni],
Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network,
RS(16), No. 2, 2024, pp. 367.
DOI Link 2402
BibRef

Gan, L.F.[Lin-Feng], Liu, H.[Hu], Yan, Y.[Yue], Chen, A.[Aoran],
Bridge bottom crack detection and modeling based on faster R-CNN and BIM,
IET-IPR(18), No. 3, 2024, pp. 664-677.
DOI Link 2402
bridges (structures), construction industry, feature extraction, image processing BibRef

Xie, Y.L.[Yi-Lin], Zhang, S.[Song], Meng, X.L.[Xiao-Lin], Nguyen, D.T.[Dinh Tung], Ye, G.[George], Li, H.Y.[Hai-Yang],
An Innovative Sensor Integrated with GNSS and Accelerometer for Bridge Health Monitoring,
RS(16), No. 4, 2024, pp. 607.
DOI Link 2402
BibRef

Cusson, D.[Daniel], Stewart, H.[Helen],
Satellite Synthetic Aperture Radar, Multispectral, and Infrared Imagery for Assessing Bridge Deformation and Structural Health: A Case Study at the Samuel de Champlain Bridge,
RS(16), No. 4, 2024, pp. 614.
DOI Link 2402
BibRef


Li, X.Y.[Xu-Yang], Bolandi, H.[Hamed], Salem, T.[Talal], Lajnef, N.[Nizar], Boddeti, V.N.[Vishnu Naresh],
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems,
CVCivil22(332-348).
Springer DOI 2304
Monitor structures. BibRef

Janouskova, K.[Klara], Rigotti, M.[Mattia], Giurgiu, I.[Ioana], Malossi, C.[Cristiano],
Model-assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures,
CVCivil22(244-257).
Springer DOI 2304
BibRef

Flotzinger, J.[Johannes], Rösch, P.J.[Philipp J.], Oswald, N.[Norbert], Braml, T.[Thomas],
Building Inspection Toolkit: Unified Evaluation And Strong Baselines For Bridge Damage Recognition,
ICIP22(1221-1225)
IEEE DOI 2211
Measurement, Bridges, Adaptation models, Image recognition, Buildings, Transfer learning, Companies, deep learning, building damage recognition BibRef

Cardellicchio, A.[Angelo], Ruggieri, S.[Sergio], Nettis, A.[Andrea], Patruno, C.[Cosimo], Uva, G.[Giuseppina], Renò, V.[Vito],
Deep Learning Approaches for Image-Based Detection and Classification of Structural Defects in Bridges,
ISHAPE22(269-279).
Springer DOI 2208
BibRef

Mehranfar, M., Arefi, H., Alidoost, F.,
A Projection-based Reconstruction Algorithm for 3d Modeling of Bridge Structures From Drone-based Point Cloud,
SmartCity21(77-83).
DOI Link 2201
BibRef

Ogawa, N.[Naoki], Maeda, K.[Keisuke], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
Correlation-Aware Attention Branch Network Using Multi-Modal Data for Deterioration Level Estimation of Infrastructures,
ICIP21(1014-1018)
IEEE DOI 2201
Visualization, Correlation, Image processing, Estimation, Inspection, Correlation maximization, attention map, deep learning, deterioration level estimation BibRef

Wan, Q.W.[Qi-Wei], Cui, M.[Meng], Wu, X.B.[Xia-Bin], Zhou, R.D.[Rui-Di],
Study on the application of improved DIC method in deformation testing of geotechnical materials,
ICIVC21(420-424)
IEEE DOI 2112
Correlation, Digital images, Soil, Feature extraction, Concrete, Civil engineering, Strain, SIFT algorithm, Optical measurement technology BibRef

Muyu, Z., Yian, L.,
Research on Application of Weighted Sampling Bayesian Network Parameter Learning in Bridge Condition Assessment,
CVIDL20(607-612)
IEEE DOI 2102
belief networks, bridges (structures), computational complexity, condition monitoring, learning (artificial intelligence), state assessment BibRef

Salazar, J.D., Buschinelli, P., Marcellino, G., Machado, M., Rodrigues, H., Regner, D., Oliveira, D., Santos, J.M., Marinho, C.A., Stemmer, M.R., Pinto, T.C.,
3d Photogrammetric Inspection of Risers Using RPAs and Deep Learning In Oil and Gas Offshore Platforms,
ISPRS20(B2:1265-1272).
DOI Link 2012
BibRef

Zhang, X., Yang, Y., Zhang, J., Liu, J., Wan, M.,
Exploration and Practice of Beijing Bell and Drum Towers Safety Detection Project,
ISPRS20(B2:1505-1511).
DOI Link 2012
BibRef

Guo, M., Zhou, Y., Zhou, T., Pan, D.,
Dynamic Change Monitoring of Qianlong Garden Rockery In Forbidden City Based on Insar and Lidar Technology,
ISPRS20(B2:1455-1463).
DOI Link 2012
BibRef

Teo, T.A.,
3d Deformation Measurement of Concrete Wall Using Close-range Photogrammetry,
ISPRS20(B2:1175-1179).
DOI Link 2012
BibRef

Merkle, D., Schmitt, A., Reiterer, A.,
Sensor Evaluation for Crack Detection In Concrete Bridges,
ISPRS20(B2:1107-1114).
DOI Link 2012
BibRef

Nahli, A., Simonetto, E., Tatin, M., Durand, S., Morel, L., Lamour, V.,
On the Combination of PsInsar and GNSS Techniques for Long-term Bridge Monitoring,
ISPRS20(B3:325-332).
DOI Link 2012
BibRef

Belloni, V., Sjölander, A., Ravanelli, R., Crespi, M., Nascetti, A.,
Tack Project: Tunnel and Bridge Automatic Crack Monitoring Using Deep Learning and Photogrammetry,
ISPRS20(B4:741-745).
DOI Link 2012
BibRef

Mundt, M.[Martin], Majumder, S.[Sagnik], Murali, S.[Sreenivas], Panetsos, P.[Panagiotis], Ramesh, V.[Visvanathan],
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset,
CVPR19(11188-11197).
IEEE DOI 2002
BibRef

Talich, M.,
Monitoring of Horizontal Movements of High-rise Buildings and Tower Transmitters By Means of Ground-based Interferometric Radar,
Gi4DM18(499-504).
DOI Link 1805
BibRef

Jia, H.G., Liu, L.Y.,
A Method For The Extraction Of Long-term Deformation Characteristics Of Long-span High-speed Railway Bridges Using High-resolution Sar Images,
ISPRS16(B7: 35-38).
DOI Link 1610
BibRef

Ding, P.[Pei], Yu, C.C.[Chong-Chong], He, X.Y.[Xiao-Yu],
A Study and Application of HHT in Vibration Signal Analysis of Bridge Structural Health Monitoring System,
CISP09(1-5).
IEEE DOI 0910
BibRef

Previtali, M., Barazzetti, L., Banfi, F., Roncoroni, F.,
Informative Content Models for Infrastructure Load Testing Management: The Azzone Visconti Bridge in Lecco,
GEORES19(995-1001).
DOI Link 1912
BibRef

Mugnai, F., Lombardi, L., Tucci, G., Nocentini, M., Gigli, G., Fanti, R.,
Geomatics in Bridge Structural Health Monitoring, Integrating Terrestrial Laser Scanning Techniques and Geotechnical Inspections On A High Value Cultural Heritage,
GEORES19(895-900).
DOI Link 1912
BibRef

Corsi, G., Frediani, F., La Monica, M., Lapi, M., Miccinesi, L., Micheloni, M., Pieraccini, M.,
Structural Rehabilitation and Real Time Monitoring of The 'ponte Delle Grazie' Bridge in Faenza, Italy,
GEORES19(449-453).
DOI Link 1912
BibRef

Bruno, N., Coïsson, E., Diotri, F., Ferrari, L., Mikolajewska, S., Morra di Cella, U., Roncella, R., Zerbi, A.,
History, Geometry, Structure: Interdisciplinary Analysis of A Historical Bridge,
GEORES19(317-323).
DOI Link 1912
BibRef

Carraro, F., Monego, M., Callegaro, C., Mazzariol, A., Perticarini, M., Menin, A., Achilli, V., Bonetto, J., Giordano, A.,
The 3d Survey of The Roman Bridge of San Lorenzo in Padova (italy): A Comparison Between SFM and TLS Methodologies Applied to The Arch Structure,
CIPA19(255-262).
DOI Link 1912
BibRef

Borin, P., Cavazzini, F.,
Condition Assessment of RC Bridges. Integrating Machine Learning, Photogrammetry and BIM,
CIPA19(201-208).
DOI Link 1912
BibRef

Artese, G.,
Improvement and Performance Evaluation of a System for Monitoring Rotations and Displacements of Bridges Based On Laser Pointer And Digital Photogrammetry,
Optical3D19(1-5).
DOI Link 1912
BibRef

Pepe, M., Costantino, D., Crocetto, N., Restuccia Garofalo, A.,
3d Modeling of Roman Bridge By The Integration of Terrestrial and UAV Photogrammetric Survey for Structural Analysis Purpose,
LC3D19(249-255).
DOI Link 1912
BibRef

Omidalizarandi, M., Neumann, I., Kemkes, E., Kargoll, B., Diener, D., Rüffer, J., Paffenholz, J.A.,
Mems Based Bridge Monitoring Supported By Image-assisted Total Station,
SMPR19(833-842).
DOI Link 1912
BibRef

Kim, J.O., Lee, J.K., Kim, K.,
Efficiency Improvement of Bridge Maintenance and Inspection By An Unmanned Aerial Vehicle,
Gi4DM19(201-201).
DOI Link 1912
BibRef

Rahman, M.A., Zayed, T.,
Viola-Jones Algorithm for Automatic Detection of Hyperbolic Regions in GPR Profiles of Bridge Decks,
Southwest18(1-4)
IEEE DOI 1809
Ground penetrating radar, Bridges, Training, Feature extraction, Detectors, Statistical analysis, Reflection, Hyperbola Detection, GPR Profiles BibRef

Berthelot, M., Nony, N., Gugi, L., Bishop, A., de Luca, L.,
The Avignon Bridge: A 3D Reconstruction Project Integrating Archaeological, Historical and Gemorphological Issues,
3D-Arch15(223-227).
DOI Link 1504
BibRef

Pera, D., Ferrando, I.,
An Integrated Monitoring System Through 3D Laser Scanner And Traditional Instruments for Load Test On Arch Bridge,
GeomCultural17(321-328).
DOI Link 1805
BibRef

Artese, S.,
The Survey of the San Francesco Bridge By Santiago Calatrava In Cosenza, Italy,
3DARCH19(33-37).
DOI Link 1904
BibRef

Kouimtzoglou, T., Stathopoulou, E.K., Agrafiotis, P., Georgopoulos, A.,
Image-based 3D Reconstruction Data As An Analysis And Documentation Tool for Architects: the Case of Plaka Bridge in Greece,
3DARCH17(391-397).
DOI Link 1805
BibRef

de Matías, J., Berenguer, F., Cortés, J.P., de Sanjosé, J.J., Atkinson, A.,
Laser Scanning for the Geometric Study of the Alcántara Bridge and Coria Cathedral,
3DARCH13(51-56).
DOI Link 1308
BibRef

Riveiro, B., Arias, P., Armesto, J., Rial, F., Solla, M.,
Multidisciplinar Approach to Historic Arch Bridges Documentation,
ISPRS08(B5: 247 ff).
PDF File. 0807
BibRef

Avsar, Ö., Akca, D., Altan, O.,
Photogrammetric Deformation Monitoring of the Second Bosphorus Bridge in Istanbul,
CloseRange14(71-76).
DOI Link 1411
BibRef

Zhang, C., Arditi, D., Chen, Z.,
Using Terrestrial Laser Scanners to Calculate and Map Vertical Bridge Clearance,
GeoInfo13(133-138).
DOI Link 1402
BibRef

Scaioni, M.[Marco], Alba, M.[Mario],
Understanding Changes and Deformations on Multi-Temporal Rock Face Point Clouds,
PCVIA10(A:67).
PDF File. 1009
BibRef

Alba, M.[Mario], Scaioni, M.[Marco],
Automatic Detection Of Changes And Deformation In Rock Faces By Terrestrial Laser Scanning,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Alba, M.[Mario], Roncoroni, F.[Fabio], Scaioni, M.[Marco],
Application of TLS for Change Detection in Rock Faces,
Laser09(99). 0909
BibRef

Alba, M., Longoni, L., Papini, M., Roncoroni, F., Scaioni, M.,
Feasibility and problems of TLS in modeling rock faces for hazard mapping,
Laser05(xx-yy).
PDF File. 0509
BibRef

Alba, M.[Mario], Roncoroni, F.[Fabio], Scaioni, M.[Marco],
Investigations about the Accuracy of Target Measurement for Deformation Monitoring,
ISPRS08(B5: 1053 ff).
PDF File. 0807
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Dam Analysis and Monitoring, Levee Analysis, Deformation, Erosion .


Last update:Mar 16, 2024 at 20:36:19