矿区地表大量级沉陷形变短基线集InSAR监测分析

发布时间：2018-06-15 13:35

  本文选题：SBAS + InSAR　； 参考：《国土资源遥感》2017年02期

【摘要】：针对矿区地表大量级形变导致的InSAR影像配准精度低、可监测性差、探测量级小、地表沉陷前后完整形变信息难以获取等问题,研究了相应的偏移量追踪法、FFT过采样法、滤波技术与基线精化等数据处理方法,并利用短基线集(small baseline subset,SBAS)技术,使距离向配准精度、最大累积探测量级得到明显提高,矿区地表形变可监测性有了很大改善。研究结果表明,该方法不仅获得了2008—2011年间研究区开采进程中地表大量级沉陷的完整形变时间序列,而且其监测结果与外业实测数据以及采矿进程资料具有良好的一致性;通过对矿区地表形变剖线的统计分析,得到了开采工作面地表形变的时空演变规律。
[Abstract]:Aiming at the problems of low registration accuracy, poor detectability, low detection order and difficulty in obtaining complete deformation information before and after subsidence caused by a large number of ground deformation in mining area, the corresponding migration tracking method and FFT oversampling method are studied. Filtering technique, baseline refinement and so on, and using the short baseline set small baseline subset SBAStechnology, the range registration accuracy and the maximum cumulative detection order are obviously improved, and the monitoring ability of the surface deformation in the mining area is greatly improved. The results show that this method not only obtains the complete deformation time series of a large number of ground subsidence in the mining process of the study area from 2008 to 2011, but also has good consistency with the field measured data and mining process data. Based on the statistical analysis of surface deformation profile in mining area, the temporal and spatial evolution law of surface deformation in mining face is obtained.
【作者单位】： 中国科学院海洋研究所海洋地质与环境重点实验室;长安大学地质工程与测绘学院;中国科学院大学;
【基金】：国家自然科学基金项目“多分辨率雷达干涉融合技术用于矿区塌陷灾害研究”(编号:41072266);国家自然科学基金项目“黄河三角洲地面沉降监测与形成机理研究”(编号:41276082);国家自然科学基金项目“渤海西南岸末次冰期以来古海岸线重建及影响因素分异研究”(编号:41106041) 中国科学院知识创新工程重要方向性项目“现代黄河口三角洲垂向形变驱动机制与环境效应研究”(编号:KZCX2-EW-207) 国土资源大调查项目“汾渭盆地重点地区地面沉降地裂缝InSAR与GPS监测”(编号:1212011120069)共同资助
【分类号】：TD325.4;TN958
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本文编号：2022173