摘要
Abstract
Global navigation satellite system(GNSS)is one of the most effective methods for landslide detection.At present,short-term landslide detection using GNSS is unstable and easily affected by gross errors and observation noise.To solve these problems,this paper proposed a short-term displacement detection method based on GNSS dynamic positioning with time series segmentation and conducted major and small displacement detection simulation experiments.Specifically,the error percentages of the three displacements detected in major displacement simulation experiments were 12.8%,6.1%,and 5.9%,respectively,and the error percentages of the three displacements detected in small displacement simulation experiments were 2.5%,9%,and 4%,respectively.The experimental results show that each mutation in the two designed simulation experiments can be accurately detected,and the detection results can reach sub-centimeter accuracy.Through the detection window formed by the current epoch and the previous epoch coordinates obtained from GNSS dynamic positioning in the proposed method and the statistical method based on time series segmentation,the influence of local disturbances on short-term displacement detection is reduced.关键词
全球卫星导航系统(GNSS)/动态定位/滑坡/短期位移检测/分割Key words
global navigation satellite system(GNSS)/dynamic positioning/landslide/short-term displacement detection/segmentation分类
天文与地球科学
