Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (1): 125-130.DOI: 10.12068/j.issn.1005-3026.2020.01.022

• Resources & Civil Engineering • Previous Articles     Next Articles

Error Correction and Deformation Analysis of GB-SAR Monitoring Based on the Multiple Regression Model

MAO Ya-chun1, CAO Wang1, ZHAO Zhan-guo2, XU Mao-lin3   

  1. 1. School of Resources & Civil Engineering, Northeastern University, Shenyang 110819, China; 2. China Gold Group, Beijing 100000, China; 3. School of Civil Engineering, Liaoning University of Science and Technology, Anshan 114053, China.
  • Received:2018-12-07 Revised:2018-12-07 Online:2020-01-15 Published:2020-02-01
  • Contact: CAO Wang
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Abstract: Aiming at the key problem of low precision of the deformation data due to the inaccurate correction of the original image interference phase error based on the ground-based synthetic aperture radar(GB-SAR) in open pit slope, the sources and distribution characteristics of interference phase error in original image were analyzed with the original GB-SAR image of Malanzhuang open-pit iron mine as the data source. The method of extracting PS points and high-quality PS points by using triple threshold was also proposed. In addition, a multi-regression model was established based on the high-quality PS point phase and pixel coordinates. According to the model, the PS point phase was corrected to obtain the accurate deformation phase and the single image deformation, and the superposition deformation analysis was performed on the time series. The results show that the GB-SAR deformation monitoring error correction method based on multiple regression model can accurately correct the GB-SAR deformation monitoring error and improve the accuracy of deformation monitoring data.

Key words: open pit slope monitoring, ground-based synthetic aperture radar(GB-SAR), interference phase error, high-quality PS point, multiple regression model

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