Time-Series SBAS Pixel Offset Tracking Method for Monitoring Three-Dimensional Deformation in a Mining Area

被引:11
作者
Huang, Jilei [1 ,2 ,3 ]
Bai, Yang [1 ,4 ]
Lei, Shaogang [3 ]
Deng, Kazhong [3 ]
机构
[1] Henan Univ, Henan Ind Technol Acad Spatio Temporal Big Data, Kaifeng 475001, Peoples R China
[2] Henan Univ Econ & Law, Coll Resources & Environm, Zhengzhou 450016, Peoples R China
[3] China Univ Min & Technol, China Minist Nat Resources Peoples Republ China, Key Lab Land Environm & Disaster Monitoring, Xuzhou 221116, Jiangsu, Peoples R China
[4] Henan Univ, Coll Environm & Planning, Kaifeng 475001, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国博士后科学基金;
关键词
SAR; pixel offset tracking; mining subsidence; three-dimensional deformation; SAR INTERFEROMETRY; LAND SUBSIDENCE; INSAR;
D O I
10.1109/ACCESS.2020.3004460
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ground surface deformation caused by mining damages the ecological environment and severely hinder economic development in the mining area. The acquisition of three-dimensional ground surface deformation in a mining area helps to improve understanding of the process and mechanism of ground surface deformation caused by mining and helps to prevent and control this type of disaster. In this paper, eleven TerraSAR-X images and five Radarsat-2 images covering the 52304 working face in the Daliuta mining area were used to obtain the time-series line-of-sight (LOS) direction deformation and azimuth direction deformation based on different SAR platforms by application of the small baseline subset (SBAS) pixel offset tracking method. According to the three-dimensional solution principle of multiplatform SAR images and 72 GPS points, the accuracy of deformation in the east-west direction is 0.22 m, while the accuracy in the north-south direction is 0.21 m, with an accuracy of subsidence of 0.34 m.
引用
收藏
页码:118787 / 118798
页数:12
相关论文
共 36 条
  • [21] Mining Subsidence Monitoring With Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy
    He, Qian
    Zhang, Yonghong
    Wu, Hongan
    Luo, Yong
    IEEE ACCESS, 2021, 9 : 106039 - 106048
  • [22] Three-dimensional deformation field detection based on multi-source SAR imagery in mining area
    Zhu, Chuan-Guang
    Deng, Ka-Zhong
    Zhang, Ji-Xian
    Zhang, Yong-Hong
    Fan, Hong-Dong
    Zhang, Li-Ya
    Meitan Xuebao/Journal of the China Coal Society, 2014, 39 (04): : 673 - 678
  • [23] A Three-Dimensional Deformation Monitoring Method: Combining Optical Deformation Monitoring Based on Regression Models and GB-SAR Interferometry
    Cheng, Yanbo
    Mo, Yuanhui
    Huang, Haifeng
    Lai, Tao
    SENSORS, 2024, 24 (06)
  • [24] Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model
    Chen, Bingqian
    Li, Zhenhong
    Yu, Chen
    Fairbairn, David
    Kang, Jianrong
    Hu, Jinshan
    Liang, Liang
    REMOTE SENSING OF ENVIRONMENT, 2020, 240
  • [25] A New Method for Extracting Three-Dimensional Surface Deformation in Underground Mining Areas Based on the Differentiability of D-InSAR Line-of-Sight Displacements
    Chen, Junjie
    Zhao, Chunsu
    Yan, Weitao
    Chen, Zhiyu
    REMOTE SENSING, 2024, 16 (21)
  • [26] Retrieval and Prediction of Three-Dimensional Displacements by Combining the DInSAR and Probability Integral Method in a Mining Area
    Zhu, Chuanguang
    Wang, Zhengshuai
    Li, Peixian
    Motagh, Mahdi
    Zhang, Liya
    Jiang, Zongli
    Long, Sichun
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 (13) : 1206 - 1217
  • [27] THREE-DIMENSIONAL SURFACE DEFORMATION RELATED TO THE 2017 NORTH KOREA NUCLEAR TEST OBSERVED BY SAR OFFSET-TRACKING APPROACH
    Baek, Won-Kyung
    Jo, Min-Jeong
    Jung, Hyung-Sup
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1392 - 1394
  • [28] Three-dimensional deformation time series of glacier motion from multiple-aperture DInSAR observation
    Sergey Samsonov
    Journal of Geodesy, 2019, 93 : 2651 - 2660
  • [29] Monitoring active motion of the Guobu landslide near the Laxiwa Hydropower Station in China by time-series point-like targets offset tracking
    Li, Menghua
    Zhang, Lu
    Shi, Xuguo
    Liao, Mingsheng
    Yang, Mengshi
    REMOTE SENSING OF ENVIRONMENT, 2019, 221 : 80 - 93
  • [30] Time-Series Analysis and Prediction of Surface Deformation in the Jinchuan Mining Area, Gansu Province, by Using InSAR and CNN-PhLSTM Network
    He, Yi
    Yan, Haowen
    Yang, Wang
    Yao, Sheng
    Zhang, Lifeng
    Chen, Yi
    Liu, Tao
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 6732 - 6751