郑美楠, 邓喀中, 陈华, 魏纪原, 杨俊凯. 时序累积DInSAR与GIS结合的矿区沉降监测与分析[J]. 煤矿安全, 2017, 48(1): 160-163.
    引用本文: 郑美楠, 邓喀中, 陈华, 魏纪原, 杨俊凯. 时序累积DInSAR与GIS结合的矿区沉降监测与分析[J]. 煤矿安全, 2017, 48(1): 160-163.
    ZHENG Meinan, DENG Kazhong, CHEN Hua, WEI Jiyuan, YANG Junkai. Monitoring and Analysis of Mining Subsidence Based on Timing Accumulation DInSAR and GIS[J]. Safety in Coal Mines, 2017, 48(1): 160-163.
    Citation: ZHENG Meinan, DENG Kazhong, CHEN Hua, WEI Jiyuan, YANG Junkai. Monitoring and Analysis of Mining Subsidence Based on Timing Accumulation DInSAR and GIS[J]. Safety in Coal Mines, 2017, 48(1): 160-163.

    时序累积DInSAR与GIS结合的矿区沉降监测与分析

    Monitoring and Analysis of Mining Subsidence Based on Timing Accumulation DInSAR and GIS

    • 摘要: 为获取长时间序列上矿区地表时空沉降过程并验证其精度,提出一种时序累积DInSAR和GIS分析相结合的矿区地表沉降监测及分析方法。该方法首先选取具有较短时空基线的SAR影像进行二轨DInSAR处理;然后将每组形变图中具有高相干性的点位的地表沉降进行累加;最后,将累计沉降量与GIS空间分析工具相结合,获取矿区地表形变和铁路形变动态发展过程。采用6景高分辨率的RADARSAT-2影像进行了实验,与水准测量数据对比验证的结果表明,该方法监测结果精度可靠,平均绝对误差为0.018 m,最大下沉误差为0.042 m。

       

      Abstract: To obtain the space-time settlement process of mining area in long time series and verify its accuracy, we propose a kind of surface subsidence monitoring and analysis method combined timing accumulation DInSAR and GIS analysis. The method firstly selects SAR images with shorter temporal baseline to process two-pass DInSAR, and then accumulates the surface subsidence with a high coherence point in each group of deformation diagram; finally, the method combines the cumulative settlement with GIS spatial analysis tools to obtain the dynamic development of surface subsidence and rail deformation. The test used six-scene high resolution RADARSAT-2 images, and the results comparing with the leveling data shows that the method has reliable detection accuracy, and the mean absolute error is 0.018 m, the maximum subsidence error is 0.042 m.

       

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