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利用数据同化技术实现InSAR和水准数据融合研究
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  • 英文篇名:Study on data fusion of InSAR and leveling by using data assimilation technology
  • 作者:麻源源 ; 左小清 ; 麻卫峰 ; 吴文豪 ; 熊康妮
  • 英文作者:Ma Yuanyuan;Zuo Xiaoqing;Ma Weifeng;Wu Wenhao;Xiong Kangni;Kunming University of Science and Engineering College of Land and Resources;Yunnan Normal University School of Tourism and Geography Science;Hun Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection,Hunan University of Science and Technology;
  • 关键词:InSAR ; 水准监测 ; 数据同化 ; 集合卡尔曼滤波 ; 总均方根误差
  • 英文关键词:InSAR;;leveling monitoring data;;data of assimilation;;ensemble Kalman filter;;total RMS error
  • 中文刊名:GCKC
  • 英文刊名:Geotechnical Investigation & Surveying
  • 机构:昆明理工大学国土资源工程学院;云南师范大学旅游与地理科学学院;湖南科技大学煤炭资源清洁利用与矿山环境保护湖南省重点实验室;
  • 出版日期:2019-08-01
  • 出版单位:工程勘察
  • 年:2019
  • 期:v.47;No.361
  • 基金:国家自然基金项目:滇中地区生态安全评价与预警研究(编号:41561048);; 云南省应用基础研究计划面上项目(编号:2018FB078)
  • 语种:中文;
  • 页:GCKC201908008
  • 页数:7
  • CN:08
  • ISSN:11-2025/TU
  • 分类号:53-59
摘要
针对水准和InSAR技术在地面沉降监测中的优缺点,采用集合卡尔曼滤波同化算法进行两种数据融合,能较好地解决InSAR技术在部分失相干地区的监测精度低和水准只能得到离散点沉降信息的弊端。本文通过SBAS-InSAR技术获取昆明机场的雷达视线向(LOS)的形变量,并将雷达视线向的形变量转换为垂直向形变量。结合机场某工程监测的水准测量值进行数据同化试验。结果表明,同化结果与水准的总均方根误差1.9mm比InSAR监测数据与水准的总均方根误差6.2mm有很大提高。
        Focusing on the advantages and disadvantages of leveling and InSAR technique in ground subsidence monitoring, two kinds of data fusion using ensemble Kalman filter assimilation algorithm are used to solve the problems better. In this paper, by using the SBAS-InSAR technology, the line of sight deformation of Kunming airport are converted to the vertical. Combining with the leveling measurements, data assimilation experiment is carried out. The results show that the total RMS error is only 1.9 mm, which is much higher than the total RMS error, 6.2 mm, of InSAR monitoring data.
引文
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