| 时间序列InSAR技术辅助下的北京市高速公路网沉降监测应用 |
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| 引用本文： | 刘冰,张永红,吴宏安,康永辉,姜德才.时间序列InSAR技术辅助下的北京市高速公路网沉降监测应用[J].测绘通报,2018,0(2):120-125,141. |
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| 作者姓名： | 刘冰 张永红 吴宏安 康永辉 姜德才 |
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| 作者单位： | 1. 山东科技大学, 山东 青岛 266590;
2. 中国测绘科学研究院, 北京 100830 |
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| 摘 要： | 利用高分辨率TerraSAR-X影像，通过多主影像相干目标小基线干涉技术（MCTSB-InSAR）获取了北京市主城区2011-2015年的地表形变信息；通过建立缓冲区，提取并分析了北京市12条高速公路及一条快速公路的沉降现状；在高速公路沉降信息的基础上对机场第二高速进行了路面平整度分析。利用水准测量数据验证了监测结果，精度达4.6 mm/a，表明MCTSB-InSAR技术不仅可以快速监测出大区域高速公路交通网络的地表沉降，而且监测精度较高。
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| 关 键 词： | 多主影像相干目标小基线干涉技术 地表沉降监测 高速公路 |
| 收稿时间： | 2017-05-08 |
Subsidence Monitoring for Expressway Network in Beijing Based on Time-series InSAR Technique |
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| LIU Bing,ZHANG Yonghong,WU Hongan,KANG Yonghui,JIANG Decai.Subsidence Monitoring for Expressway Network in Beijing Based on Time-series InSAR Technique[J].Bulletin of Surveying and Mapping,2018,0(2):120-125,141. |
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| Authors: | LIU Bing ZHANG Yonghong WU Hongan KANG Yonghui JIANG Decai |
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| Institution: | 1. Shandong University of Science and Technology, Qingdao 266590, China;
2. Chinese Academy of Surveying and Mapping, Beijing 100830, China |
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| Abstract: | In this paper,the ground deformation of the Beijing urban areas from 2011 to 2015 was obtained by using Multiple images Coherent Targets Small Baselines InSAR (MCTSB-InSAR)technique,with the high resolution TerraSAR-X images.By building spatial buffer,the subsidence of 12 freeways and one expressway in Beijing was extracted and analyzed. The roughness of the airport second freeway was analyzed based on the subsidence of the freeways.The monitoring results were verified with leveling data and the accuracy is 4.6 mm/a.Results demonstrated that MCTSB-InSAR technique can not only monitor the subsidence for expressway traffic network over large area,but also has high monitoring precision. |
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| Keywords: | multiple images coherent targets small baselines InSAR (MCTSB-InSAR) ground subsidence monitoring expressway |
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