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InSAR非形变信息分离方法研究——以台州地区为例 被引量:2

Research on InSAR non-deformation information separation method——a case study of Taizhou area
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摘要 为了获取台州地区地面沉降量,该文采用粗差探测与空间滤波相结合的方法对InSAR非形变信息分离,并利用水准观测数据进行验证。结果分析表明:原InSAR与水准观测差值标准差为5.018 mm,优化后InSAR与水准观测差值标准差为1.682 mm,验证了优化方法的可靠性。对比InSAR沉降量,台州地区椒江区、路桥区、温岭市的主城区域地面缓慢抬升,可能由于台州市地下水开采控制等因素导致而成;黄岩西部山区与沿海滩涂区域地面缓慢下降,可能与矿产资源开采、填海造陆、潮汐负荷等因素有关。 In order to obtain the land subsidence in Taizhou area,this paper used the method of combining gross error detection and spatial filtering to separate the interferometric synthetic aperture radar(InSAR)non-deformable information,and leveling observation data was used to verify.The analysis of the results showed that the standard deviation of the difference between the original InSAR and the leveling observation was 5.018 mm,and after the optimization,the standard deviation of the difference between the InSAR and the leveling observation after optimization was 1.682 mm,which verified the reliability of the optimization method.By comparing the InSAR settlements,the ground slowly rose in the main urban areas of Jiaojiang district,Luqiao district,and Wenling city in Taizhou,which may be caused by factors such as the control of groundwater exploitation in Taizhou.The slow decline of the land surface in the western Huangyan mountain area and coastal tidal flat area may be related to mineral resource exploitation,sea reclamation and tidal load.
作者 王洲 章传银 WANG Zhou;ZHANG Chuanyin(Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730070,China;Chinese Academy of Surveying and Mapping,Beijing 100036,China;National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring,Lanzhou 730070,China;Gansu Provincial Engineering Laboratory for National Geographic State Monitoring,Lanzhou 730070,China)
出处 《测绘科学》 CSCD 北大核心 2020年第12期81-87,130,共8页 Science of Surveying and Mapping
基金 中国测绘科学研究院基本科研业务费项目(AR1905)。
关键词 永久散射体合成孔径雷达干涉技术 InSAR结果优化 时序分析 地面沉降 persistent scatterer interferometric synthetic aperture radar(PS-InSAR) InSAR result optimization time sequence analysis land subsidence
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