基于四叉树滤波的InSAR矿区形变监测与分析  

InSAR Deformation Monitoring and Analysis of Mining Area Based on Quadtree Filtering

作　　者：杨小鸽 王华[1] 柏俊 吴希文 李廷俊 柏玉超 皮廷亮 Yang Xiao-ge;Wang Hua;Bai jun;Ng Alex Hay-Man;Li Ting-jun;Bai Yu-chao;Pi Ting-liang(School of Civil and Transportation Engineering,Guangdong University of Technology,Guangzhou 510006,China;Guangzhou Haichuan Information Technology Co.,Ltd.,Guangzhou 510300,China;Yunnan Hualian Zinc and Indium Co.,Ltd.,Wenshan 663700,China)

机构地区：[1]广东工业大学土木与交通工程学院,广东广州510006 [2]广州海川信息科技有限公司,广东广州510300 [3]云南华联锌铟股份有限公司,云南文山663700

出　　处：《广东工业大学学报》2023年第3期99-104,共6页Journal of Guangdong University of Technology

基　　金：国家重点研发计划资助项目(2017YFC1500501);广东省自然科学基金资助项目(2021A1515011483)。

摘　　要：时变去相干等因素导致矿区形变干涉图中存在大量的噪声,采用四叉树滤波方法能滤除InSAR解缠相位中的离散噪声点,从而获得干净的形变结果。本文以云南某露天开采的矿区为例,探讨了最小划分窗口与粗差阈值对四叉树滤波效果的影响,并采用2019~2021年间的Sentinel-1卫星数据计算了该矿区的地表形变时间序列。结果表明,该矿区在监测期间存在显著的地表形变,大致集中在3个区域,形变特征在时域上既有抬升也有沉降,总体呈波浪状,最大沉降量达到67.3 mm,最大抬升量达79.3 mm。InSAR监测结果与32个地面测量机器人41个时段的结果差异为±10.9 mm。Due to factors such as loss of coherence between repeated SAR acquisitions,the interferograms are often very noisy.The quadtree filter can remove such discrete noise in unwrapped interferograms and obtain clean deformation results.A mining area in Yunnan is investigated,discussing how the minimum division window and the gross error threshold affect the performance of quadtree filtering.The surface deformation time series of the mining area is obtained using Sentinel-1 satellite data from 2019 to 2021.The results show that the mining area has significant surface deformation during our monitoring period,focusing mainly on three regions with both uplift and subsidence.The deformation time series present wave-like variations in the time domain.The maximum incremental subsidence and uplift are up to 67.3 and 79.4 mm in 12 days,respectively.The difference is±10.9 mm between InSAR and 41 repeated observations from 32 ground-based total stations.

关 键 词：INSAR 四叉树滤波 矿区形变 时间序列分析 

分 类 号：TD176[矿业工程—矿山地质测量] P237[天文地球—摄影测量与遥感]