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差分干涉沉降监测时相效应与数据选择研究

Study on time phase effect and data selection of settlement monitoring by DInSAR
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摘要 针对DInSAR沉降监测中选择不同时相组合影像的沉降监测结果精度的影响差异和监测结果偏差,该文以多期DInSAR数据按照不同时相组合进行DInSAR相干分析计算沉降量,同时引入同期水准沉降监测结果作为评价指标,提出了DInSAR沉降监测中影像组合的时相选择原则。该文以降水量为影响因子,对降水量与DInSAR沉降监测精度进行定量分析,提出针对时相数据不当干涉处理改正模型,对由降水影响的不同季节地表覆盖和散射分量差异造成的DInSAR沉降监测偏差进行了改正。实验结果表明:该方法能够为高精度、可靠DInSAR沉降监测提供时相选择依据,可为长三角城市群沉降监测遥感方法大规模应用奠定数据支撑。 In order to solve the problems of influence on the accuracy of settlement monitoring results and deviation of monitoring results in selecting different time-phase combination images in DInSAR settlement monitoring,this paper uses multi-phase DInSAR data to conduct DInSAR coherence analysis according to different time-phase combination to calculate the settlement,and introduces the level settlement monitoring results in the same period as the evaluation index,The phase selection principle of image combination in DInSAR settlement monitoring is proposed.Taking precipitation as the influencing factor,this paper makes a quantitative analysis of precipitation and DInSAR settlement monitoring accuracy,puts forward a correction model for improper interference processing of time-phase data,and corrects the DInSAR settlement monitoring deviation caused by the difference of surface coverage and scattering components in different seasons affected by precipitation.The experimental results show that this method can provide a basis for time phase selection for high-precision and reliable DInSAR settlement monitoring,and can lay a data support for the large-scale application of remote sensing method for settlement monitoring of urban agglomeration in the Yangtze River Delta.
作者 刘健锋 胡庆武 艾明耀 熊成利 金洪芳 LIU Jianfeng;HU Qingwu;AI Mingyao;XIONG Chengli;JIN Hongfung(Wuhan University,Wuhan 430079,China;The Second Surveying and Mapping Institute of Zhejiang Province,Hangzhou 310012,China)
出处 《测绘科学》 CSCD 北大核心 2021年第12期155-162,194,共9页 Science of Surveying and Mapping
基金 浙江省公益研究计划项目(LGF18D010006)。
关键词 DINSAR 沉降监测 时相效应 数据选择 降水量 改正模型 DInSAR settlement monitoring phase effect data selection precipitation correction model
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