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结合DInSAR和MAI-InSAR的矿区地表沉降监测 被引量:2

Surface subsidence monitoring in mining area based on DInSAR and Multi-Aperture InSAR
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摘要 基于两景Sentinel-1A影像,利用DInSAR技术和MAI-InSAR技术分别获取了1309工作面的地表沉降形变场,并与实测值进行对比。结果表明:在下沉量较小的沉降区域,DInSAR技术与MAI-InSAR技术均能实现较高精度的沉降监测。DInSAR监测值和MAI-InSAR监测值与实测数据之间的绝对平均误差分别为0.0098 m和0.0091 m,结合DInSAR技术监测结果和MAIInSAR技术监测结果的监测值与实测数据之间的绝对平均误差为0.005 m。利用MAI-InSAR监测结果对DInSAR监测结果进行补充,获得了更高精度的地面沉降监测值,表明DInSAR技术用于开采沉陷监测是可行的,MAI-InSAR技术能够结合DInSAR技术为地表沉降监测提供更高的精度。 The surface subsidence deformation of 1309 working face is obtained and compared with the measured values based on two-scene Sentinel-1A images and DInSAR technology and Multi-Aperture InSAR technology. The results show that both DInSAR and MAI-InSAR can achieve high-precision monitoring in the area with small subsidence. The absolute average error between DInSAR monitoring values and measured values is 0.0098 m;the absolute average error between MAI monitoring values and measured values is 0.0091 m;the absolute average error between the combination of DInSAR and MAI-InSAR values and measured values is 0.005 m. A higher precision ground subsidence value is obtained when the DInSAR monitoring results are supplemented by MAI-InSAR monitoring results, which indicates that DInSAR is feasible for mining subsidence monitoring, and MAI-InSAR technology can provide higher precision for surface subsidence monitoring when combined with DInSAR technology.
作者 徐郡 胡晋山 丁进 华怡颖 XU Jun;HU Jinshan;DING Jin;HUA Yiying(School of Geography,Geomatics and Planning,Jiangsu Normal University,Xuzhou 221116,China)
出处 《江西理工大学学报》 CAS 2020年第1期15-20,共6页 Journal of Jiangxi University of Science and Technology
基金 国家自然科学基金资助项目(41671395,51574132) 江苏省研究生科研创新计划项目(KYCX18_2158)。
关键词 DINSAR MAI-InSAR 矿区沉降 沉降监测 二轨法 DInSAR MAI-InSAR mining subsidence subsidence monitoring two-pass approach
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