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基于轨道精炼控制点精选的极艰险区域时序InSAR地表形变监测

潘建平, 邓福江, 徐正宣, 向淇文, 涂文丽, 付占宝. 基于轨道精炼控制点精选的极艰险区域时序InSAR地表形变监测[J]. 中国地质灾害与防治学报, 2021, 32(5): 98-104. doi: 10.16031/j.cnki.issn.1003-8035.2021.05-12
引用本文: 潘建平, 邓福江, 徐正宣, 向淇文, 涂文丽, 付占宝. 基于轨道精炼控制点精选的极艰险区域时序InSAR地表形变监测[J]. 中国地质灾害与防治学报, 2021, 32(5): 98-104. doi: 10.16031/j.cnki.issn.1003-8035.2021.05-12
PAN Jianping, DENG Fujiang, XU Zhengxuan, XIANG Qiwen, TU Wenli, FU Zhanbao. Time series InSAR surface deformation monitoring in extremely difficult area based on track refining control points selection[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(5): 98-104. doi: 10.16031/j.cnki.issn.1003-8035.2021.05-12
Citation: PAN Jianping, DENG Fujiang, XU Zhengxuan, XIANG Qiwen, TU Wenli, FU Zhanbao. Time series InSAR surface deformation monitoring in extremely difficult area based on track refining control points selection[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(5): 98-104. doi: 10.16031/j.cnki.issn.1003-8035.2021.05-12

基于轨道精炼控制点精选的极艰险区域时序InSAR地表形变监测

  • 基金项目: 国家自然科学基金项目(41801394);贵州省地矿局2019年局管科研项目(黔地矿科合201909);重庆市规划和自然资源局科技项目(KJ-2020010)
详细信息
    作者简介: 潘建平(1976-),男,安徽合肥人,博士,教授,主要从事摄影测量与遥感、地质工程方面的研究。E-mail:6370554@qq.com
  • 中图分类号: P694

Time series InSAR surface deformation monitoring in extremely difficult area based on track refining control points selection

  • 极艰险区域具有地形起伏极大、地理环境复杂和永久散射体稀少的特点,为此文章设计了一种改进的SBAS-InSAR技术进行地表形变监测。文章先从相干性、振幅离差指数、形变速率三个方面获得候选的永久性散射体点,之后辅以光学影像精选出最终的永久性散射体点,将其作为轨道精炼控制点引入SBAS-InSAR解算过程,最终完成了研究区的地表形变监测。通过对比分析常规的PS-InSAR技术与SBAS-InSAR技术,该技术在极艰险区域具有良好的应用价值。

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  • 图 1  改进的SBAS-InSAR技术的基本流程图

    Figure 1. 

    图 2  研究区地理位置图

    Figure 2. 

    图 3  时间基线连接图

    Figure 3. 

    图 4  空间基线连接图

    Figure 4. 

    图 5  结合Google earth光学影像筛选剔除的GCP点

    Figure 5. 

    图 6  GCP点选取结果对比(左为人工选取,右为本文方法选取)

    Figure 6. 

    图 7  折多山区域年均地表形变速率图

    Figure 7. 

    图 8  不同方法的折多山区域年均地表形变速率图

    Figure 8. 

    表 1  两种时序InSAR技术的形变速率统计

    Table 1.  Deformation rate statistics of two time series InSAR techniques

    方法最小值最大值均值标准差
    改进前的
    SBAS-InSAR
    −154.352951140.393066−1.2089229.224748
    改进后的
    SBAS-InSAR
    −153.044235141.006891−1.0996899.172168
    下载: 导出CSV

    表 2  两种时序InSAR技术的形变速率精度统计

    Table 2.  Deformation rate accuracy statistics of two time series InSAR techniques

    方法最小值最大值均值标准差
    改进前的
    SBAS-InSAR
    0.14398217.3813823.8511481.401882
    改进后的
    SBAS-InSAR
    0.14242816.7117763.0913601.279466
    下载: 导出CSV
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出版历程
收稿日期:  2020-09-18
修回日期:  2020-11-26
刊出日期:  2021-10-25

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