测绘学报

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基于SBAS的矿区形变研究

尹宏杰1,2,朱建军3,李志伟3,丁晓利4,汪长城3   

  1. 1. 郑州市规划勘测设计研究院
    2. 中南大学信息物理工程学院
    3. 中南大学
    4. 香港理工大学土地测量与地理资讯学系
  • 收稿日期:2009-11-10 修回日期:2010-06-12 出版日期:2011-02-25 发布日期:2011-02-25
  • 通讯作者: 朱建军

Ground subsidence monitoring in mining area using DInSAR SBAS algorithm

  • Received:2009-11-10 Revised:2010-06-12 Online:2011-02-25 Published:2011-02-25
  • Contact: Jianjun Zhu

摘要: 由于使用的SAR图像较少,缺乏多余观测,传统的DInSAR得到的形变可靠性较差。此外,受InSAR观测周期以及空间和时间基线的限制,多数情况下很难将离散的DInSAR观测连接起来,获得时间上连续的沉降场,从而揭示研究区域的沉降演化情况。本文运用小基线集(SBAS)技术,通过虚拟观测值的方法,对DInSAR获取的相位进行后处理,准确地获取了冷水江矿区的沉降序列图,揭示了矿区沉降漏斗的发展和演化情况。空间基线的约束有效地减弱了DEM误差的影响,同时观测量的增加又提高了监测结果的精度和可靠性。

Abstract: It is difficult to get robust deformation results using conventional Differential InSAR method, due to lack of enough SAR images jointly used in SAR interferometry. In this paper, we use Small Baseline Subset (SBAS) DInSAR algorithm to monitor the temporal evolution of surface deformation in mining area. A temporal deformation sequence of Lengshuijiang mining area of Hunan Province is retrieved from DInSAR phase based on virtual observation method and SBAS algorithm. The retrieved deformation sequence reveals the development and evolution of the subsidence “bowl” of the mining area. The result demonstrates that using both SBAS algorithm and the method of virtual observation can improve the accuracy of deformation monitoring with InSAR.