测绘通报 ›› 2022, Vol. 0 ›› Issue (3): 138-142,156.doi: 10.13474/j.cnki.11-2246.2022.0092

• 技术交流 • 上一篇    下一篇

利用稀少卫星影像控制点生产1:10 000 DOM——以阿拉善盟测区为例

逯中香, 樊彦国, 李国胜   

  1. 中国石油大学(华东)海洋与空间信息学院, 山东 青岛 266580
  • 收稿日期:2021-04-12 修回日期:2021-07-07 出版日期:2022-03-25 发布日期:2022-04-01
  • 通讯作者: 樊彦国。E-mail:ygfan@upc.edu.cn
  • 作者简介:逯中香(1996-),女,硕士生,主要研究方向为遥感应用。E-mail:luomoabc123@163.com
  • 基金资助:
    山东省重点研发计划(2019GHY112017)

Monitoring of surface deformation along the Qinghai-Tibet Railway with the time series InSAR technology

LU Zhongxiang, FAN Yanguo, LI Guosheng   

  1. LU Zhongxiang, FAN Yanguo, LI Guosheng
  • Received:2021-04-12 Revised:2021-07-07 Online:2022-03-25 Published:2022-04-01

摘要: 青藏铁路沿线地表受多年冻土的影响会产生抬升和沉降,形变监测对于其安全运行至关重要。本文采用41景C波段Sentinel-1A升轨数据,结合均匀网格划分子区域的方法,探测分布相对均匀的永久散射体,以作为SBAS InSAR技术的地面控制点,对青藏线羊八井站至乌玛塘站段铁路及其沿线地表进行形变监测。试验结果表明,该段铁路年形变速率范围为-8~2 mm/a,该区域形变受周围冻土的影响随季节呈周期性变化;SBAS InSAR技术和本文的PS-SBAS InSAR技术在同名点形变趋势与形变程度方面的对比结果保持一致性,进一步说明了本文方法的可靠性。

关键词: PS-SBAS InSAR;时序分析;形变监测;周期性变化

Abstract: The ground surface along the Qinghai-Tibet Railway is affected by permafrost,which will cause uplift and subsidence,so deformation monitoring is very important for its safe operation.The 41 scenes of C-band Sentinel-1A ascending data are used,combined with the relatively uniformly distributed permanent scatterers detected by the sub-region division method,as the ground control point of the SBAS InSAR technology to monitor the surface deformation of the railway from Yangbajing Station to Wumatang Station.The experimental results show that the annual deformation rate of this section of the railway is between-8 mm/a and 2 mm/a.The deformation of this area is affected by the surrounding frozen soil,which changes periodically with the seasons.The SBAS InSAR technology and the PS-SBAS InSAR technology used in this paper are compared in terms of the deformation trend and degree of deformation at the homologous point.The results are consistent,which shows the reliability of the method in this paper.

Key words: PS-SBAS InSAR;time series analysis;deformation monitoring;periodic change

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