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应用时间序列InSAR技术监测上海磁悬浮列车专线形变
作者姓名:蒋亚楠  杨梦诗  廖明生  王寒梅
作者单位:[1]武汉大学测绘遥感信息工程国家重点实验室,武援430079 [2]国土资源部地面沉降监测与防治重点实验室,上海200072 [3]上海市地质调查研究院,上海200072
基金项目:高等学校博士学科直专项科研基金(20110141110057)
摘    要:新代高分辨军、短重访周期SAR卫星的发射运行,使得InSAR技术不仅能满足大范围地表沉降监测的数据需求,还可以监测到大型人工线状地物的形变,使得对短周期微小形变的监测和预警成为可能。本文以上海市在运营的磁悬浮列车专线为研究对象,利用时间序列分析方法对20112~F9月~2012年10月期间的15景TenaSAR-X数据进行了处理和分析,实验结果表明高分辨军SAR数据可以用于公共交通设施微小形变的监测,在公共安全领域具有广阔的应用前景。

关 键 词:磁悬浮列车专线  形变监测  高分辨军SAR影像  时间序列分析技术

Deformation monitoring of the Shanghai Maglev system based on the time-series analysis of InSAR data
Authors:JIANG Ya Nan  YANG Meng Shi  LIAO Ming Sheng  WANG Han Mei
Institution:JIANG Ya Nan, YANG Meng Shi, LIAO Ming Sheng, WANG Han Mei
Abstract:The recently available high-resolution, short revisit-cycle, radar satellite data can not only be used to monitor land subsidence over large areas, but also to provide information regarding the deformation of large buildings and the transportation network; it has also made short-term small-scale deformation monitoring possible. In this paper, time-series analysis of InSAR data is carded out to detect deformation of the Shanghai Maglev track. The dataset of 15 TerraSAR-X images was acquired between September 2011 and October 2012. Experimental results showthat high-resolution SAP, data may be suitable for operational monitonng of deformation affecting public infrastructu re.
Keywords:maglev train  deformation monitoring  time series analysis  high-resolution SAR images
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