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三维激光扫描与DInSAR联合监测矿区地表动态沉降方法 被引量:8

A Combining Method of 3D Laser Scanning and DInSAR for Monitoring Surface Dynamic Subsidence in Mining Area
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摘要 为解决SRTM DEM(分辨率30 m)与雷达影像分辨率不匹配降低了DInSAR地表形变监测精度的问题,研究了1种三维激光扫描与DInSAR联合监测矿区地表动态沉陷方法。该方法首先利用地面三维激光扫描点云数据构建高分辨率、高精度DEM,然后由低分辨率SRTM DEM内插补充数据缺失区域以获取整个研究区域DEM,最后将其与高分辨率SAR影像进行时序差分处理,获取矿区地表动态沉降监测数据。利用覆盖某矿5景3 m分辨率的TerraSAR-X影像进行了验证。结果表明:相比现有的SRTM DEM监测结果,该方法减小了DEM误差对形变结果的影响,实现了矿区大范围、高精度、动态的地表沉降监测,具有较好的应用价值。 To solve the problem that the surface deformation precision monitored by DInSAR is reduced for a lower resolution of SRTM DEM(resolution of 30 m) than that of radar images,a method combined 3D laser scanning and DInSAR technique is studied to monitor the dynamic subsidence in mining area.In this method,high resolution and high precision DEM are constructed by using 3D laser scanning point cloud data.Then,the low resolution SRTM DEM is used to interpolate the missing data area to obtain the DEM of the whole study area.Finally,it is processed by time-series differential interferometric measurement with high resolution SAR image to get mining surface dynamic subsidence monitoring data.The results show that compared with the existing monitoring results of SRTM DEM,this method reduces the influence of DEM error on the deformation results,and realizes the large-scale,high precision and dynamic mining subsidence monitoring,which has a good application value.
作者 何倩 范洪冬 段晓晔 杜森 高晓雄 HE Qian;FAN Hongdong;DUAN Xiaoye;DU Sen;GAO Xiaoxiong(NASG Key Laboratory for Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China;State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu 610059, China;Coal Geological Bureau of lnner Mongolia Autonomous Region, Huhhot 010000, China)
出处 《煤矿安全》 北大核心 2017年第12期70-73,77,共5页 Safety in Coal Mines
基金 国家自然科学基金资助项目(41604005) 地质灾害防治与地质环境保护国家重点实验室开放基金资助项目(SKLGP2016K008)
关键词 三维激光扫描 DINSAR 矿区 地表动态沉降 监测精度 3D laser scanning DInSAR mining area surface dynamic subsidence monitoring precision
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