新型FMCW地基SAR和三维激光扫描仪在大坝变形监测中的应用
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摘要
为解决传统大坝变形监测方法仅能获取点形变信息,且监测成本高、受环境影响大等问题,提出了结合快速地基合成孔径雷达(Fast-GBSAR)获取的高精度二维形变图和三维激光扫描仪生成的DEM,解决了雷达数据可视化程度低的问题。利用该技术对国内某大坝进行了健康监测并对形变原因进行了深入分析,库区潮汐对大坝水平形变产生周期性的影响。试验表明,Fast-GBSAR可以获取高精度的大坝形变信息,结合三维可视化技术,建立直观、高效与高精度的三维监测方式,为大坝的变形监测提供了可靠保障。
In order to solve the disadvantages of traditional dam deformation monitoring method,including only getting point deformation information,high monitoring costs and significant environmental impact,this study introduces a new monitoring technology for ground based synthetic aperture radar( GBSAR). The low visibility of radar data can be solved by the combination of high-precision two-dimensional deformation map obtained by Fast-GBSAR and DEM generated by three-dimensional laser scanner. Through monitoring of a domestic dam and in-depth analysis of deformation reasons using this technology,we propose that the tide in the reservoir area has a cyclical effect on the horizontal deformation of the dam. The result indicates that the high-precision dam deformation information can be obtained by Fast-GBSAR. In this study,a three-dimensional monitoring method with intuitive,efficient and high-precision is established,combined with three-dimensional visualization technology,and it provides reliable support for dam deformation monitoring.
In order to solve the disadvantages of traditional dam deformation monitoring method,including only getting point deformation information,high monitoring costs and significant environmental impact,this study introduces a new monitoring technology for ground based synthetic aperture radar( GBSAR). The low visibility of radar data can be solved by the combination of high-precision two-dimensional deformation map obtained by Fast-GBSAR and DEM generated by three-dimensional laser scanner. Through monitoring of a domestic dam and in-depth analysis of deformation reasons using this technology,we propose that the tide in the reservoir area has a cyclical effect on the horizontal deformation of the dam. The result indicates that the high-precision dam deformation information can be obtained by Fast-GBSAR. In this study,a three-dimensional monitoring method with intuitive,efficient and high-precision is established,combined with three-dimensional visualization technology,and it provides reliable support for dam deformation monitoring.
引文
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[11]徐亚明.GB-SAR构建永久散射体网改正气象扰动方法[J].武汉大学学报(信息科学版),2016,41(8):1007-1012.
[12]邢诚,韩贤权,周校,等.地基合成孔径雷达在大坝监测应用研究[J].长江科学院学报,2014,31(7):128-134.
[13]邱志伟,汪学琴,岳顺,等.地基雷达干涉技术应用研究进展[J].地理信息世界,2015,22(4):72-75.
[14]黄其欢,岳建平,贡建兵.GBIn SAR隔河岩大坝变形监测实验[J].水利水电科技进展,2016,36(3):47-51.
[15]黄其欢.基于稳定点加权的GBSAR大气扰动校正方法[J].西南交通大学学报,2017,52(1):202-208.
[2]岳建平,曾宝庆,郭腾龙,等.GB-Radar与测量机器人数据融合方法研究[J].测绘通报,2014(10):33-35.
[3]RODELSPERGER S,COCCIA A,VICENTE D,et al.Introduction to the new metasensing ground-based SAR:technical description and data analysis[C]∥2012IEEE International Conference on Geoscience and Remote Sensing Symposium(IGARSS).[S.l.]:IEEE,2012.
[4]VASILE G,BOLDO D,BOUDON R,et al.Potential of multipass very high resolution SAR interferometry for dam monitoring[C]∥Military Technical Academy,9th International Conference on Communications.Bucharest:[s.n.],2012:371-374.
[5]徐亚明,王鹏,周校,等.地基干涉雷达IBIS_S桥梁动态形变监测研究[J].武汉大学学报(信息科学版),2013,38(7):845-849.
[6]刘斌,葛大庆,张玲,等.地基雷达干涉测量技术在滑坡灾后稳定性评估中的应用[J].大地测量与地球动力学,2016,36(8):20-23,39.
[7]BERNARD I G,RICO I P,COPPI F.A ground based microwave interferometer with imaging capabilities for remote measurements of displacements[C]∥Proceedings of the 7th Geomatic Week.Barcelona:[s.n],2007.
[8]MONSERRAT O,CROSETTO M,LUZI G.A review of ground-based SAR interferometry for deformation measurement[J].Isprs Journal of Photogrammetry&Remote Sensing,2014,93(7):40-48.
[9]李德仁,廖明生,王艳.永久散射体雷达干涉测量技术[J].武汉大学学报(信息科学版),2004,29(8):664-668.
[10]陈强,刘国祥,李永树,等.干涉雷达永久散射体自动探测-算法与实验结果[J].测绘学报,2006,35(2):112-117.
[11]徐亚明.GB-SAR构建永久散射体网改正气象扰动方法[J].武汉大学学报(信息科学版),2016,41(8):1007-1012.
[12]邢诚,韩贤权,周校,等.地基合成孔径雷达在大坝监测应用研究[J].长江科学院学报,2014,31(7):128-134.
[13]邱志伟,汪学琴,岳顺,等.地基雷达干涉技术应用研究进展[J].地理信息世界,2015,22(4):72-75.
[14]黄其欢,岳建平,贡建兵.GBIn SAR隔河岩大坝变形监测实验[J].水利水电科技进展,2016,36(3):47-51.
[15]黄其欢.基于稳定点加权的GBSAR大气扰动校正方法[J].西南交通大学学报,2017,52(1):202-208.