[1] |
ZHOU Fang-fang, ZHANG Feng, DU Ze-dong, HU Chao.
Design and Implementation of Intelligent Monitoring Instrument for Dam Deformation Based on Microprocessor and Multi-communication
[J]. Journal of Changjiang River Scientific Research Institute, 2024, 41(2): 167-172.
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[2] |
LIU Yun-cai, HOU Cheng, LIU Wei-qi, SHI Jun-bo, ZOU Jin-gui.
Automated Health Diagnosis Technology for Stations with Massive BDS Deformation Monitoring Data
[J]. Journal of Changjiang River Scientific Research Institute, 2024, 41(10): 201-205.
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[3] |
WAN Peng, HAN Xian-quan, TAN Yong, QIN Peng.
TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing
[J]. Journal of Changjiang River Scientific Research Institute, 2024, 41(10): 206-214.
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[4] |
LI Jian-zhou, HAN Xian-quan, WAN Peng.
Application of Improved Random Sample Consensus in Building Status Survey
[J]. Journal of Changjiang River Scientific Research Institute, 2023, 40(8): 152-156.
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[5] |
WANG Shang-xiao, LI Shi-yao, NIU Rui-qing.
Monitoring Slope Displacements of Muyubao Landslide Using InSAR Analysis Technique
[J]. Journal of Changjiang River Scientific Research Institute, 2022, 39(4): 77-84.
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[6] |
FENG Wen-kai, ZENG Wei-kong, CHENG Ke-li, YI Xiao-yu, JIAO Long-xin.
Method of Obtaining Structural Plane Occurence Based on Three-dimensional Point Cloud
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(9): 128-132.
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[7] |
ZHANG Yong-guang, TIAN Fan, LI Ying-chun, LIU Hao-jie.
Application of Time Series InSAR to Deformation Monitoring in Central Line Project of South-to-North Water Transfer
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(8): 72-77.
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[8] |
ZHANG Si-hong, JIANG De-jun.
Automatic 3D High-precision Monitoring Technology for Surface Displacement: Research and Application
[J]. Journal of Changjiang River Scientific Research Institute, 2021, 38(1): 66-71.
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[9] |
LI Jian-zhou, LIU Yuan, ZOU Shuang-chao.
Application of Multi-beam Sounding Technology in Checking the Conditions of Water Intake Pipe of a Water Plant in the Yangtze River
[J]. Journal of Changjiang River Scientific Research Institute, 2019, 36(12): 43-46.
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[10] |
ZHOU Feng-nian.
Retrieving Suspended Sediment Concentration by Using Water Surface Points of Infrared Laser and Green Laser in Airborne LiDAR Bathymetry
[J]. Journal of Changjiang River Scientific Research Institute, 2019, 36(11): 167-170.
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[11] |
QIAN Qiu-pei, CUI Wei-jie, BAO Teng-fei, LI Hui.
Case Analysis of the Prediction Ability of SVM-based Monitoring Model for Concrete Dam Deformation
[J]. Journal of Changjiang River Scientific Research Institute, 2018, 35(8): 46-50.
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[12] |
WANG Sen, XU Qiang, LUO Bo-yu, WANG Yi-chao, LIU Wen-de.
Rainfall Infiltration and Formation Mechanism of Shallow Soil Landslides in Nanjiang
[J]. Journal of Changjiang River Scientific Research Institute, 2017, 34(8): 96-100.
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[13] |
HU Tian-yi, YOU Meng-tao, LU Tian-lin, WANG Cheng, DONG An-yu.
Application of an Improved Spatial Correlation Coefficient to Exterior Deformation Monitoring of High Slope in Reservoir Area
[J]. Journal of Changjiang River Scientific Research Institute, 2017, 34(7): 41-47.
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[14] |
XIE Wo, LU Kun-lin, ZHU Da-yong.
Partition Excavation of a Subway Deep Foundation Pit:Monitoring and Numerical Simulation
[J]. Journal of Changjiang River Scientific Research Institute, 2017, 34(12): 106-110.
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[15] |
LI Li-gong,DING Yong,MA Bin-bin,ZHOU Ke-ming.
) Deformation Monitoring of Pile and Anchor Supporting Structure of Deep Foundation Pit Using BOTDA
[J]. Journal of Changjiang River Scientific Research Institute, 2016, 33(9): 48-51.
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