期刊文献+

融合InSAR技术的矿区大梯度形变研究 被引量:9

Research on large gradient deformation of mining area based on InSAR technology
原文传递
导出
摘要 针对矿区开采沉陷沉降量级大、形变剧烈,传统InSAR技术监测过程易出现影像失相干,监测精度较低的问题,以山西省某矿区9103工作面为例,提出SBAS-InSAR和Offset-tracking技术联合监测的方法。采用SBAS-InSAR监测沉陷盆地边缘地区微小形变,采用Offset-tracking技术监测沉陷盆地中心区域大梯度形变,并将二者的形变信息进行融合,从而获得整个采掘工作面上方地表时空变化规律。研究表明,其监测结果与实测数据吻合度较好,满足开采沉陷监测的一般精度要求,融合SBAS-InSAR和Offset-tracking技术可以有效地解决传统InSAR技术只能监测微小形变的问题,为矿区开采沉陷大梯度形变监测以及环境治理提供新的理论思路。 Aiming at the problems of large subsidence magnitude and severe deformation in mining area,the traditional InSAR technology monitoring process is prone to image decoherence and low monitoring accuracy,taking 9103 working face of a mining area in Shanxi Province as an example,this paper puts forward the joint monitoring method of SBAS-InSAR and Offset-tracking technology.SBAS-InSAR was used to monitor the small deformation in the edge area of the subsidence basin,and Offset-tracking technology was used to monitor the large gradient deformation in the central area of the subsidence basin,the deformation information of the two was fused to obtain the temporal and spatial variation of the surface above the whole mining face.The research shows that the monitoring results are in good agreement with the measured data,which meets the general accuracy requirements of mining subsidence monitoring,the integration of SBAS-InSAR and Offset-tracking technology can effectively solve the problem that the traditional InSAR technology can only monitor small deformation,and provide new theoretical ideas for large gradient deformation monitoring and environmental governance of mining subsidence.
作者 李帅 温建生 胡海峰 LI Shuai;WEN Jiansheng;HU Haifeng(Taiyuan University of Technology,Taiyuan 030021,China;Liuwan Coal Mine of Shanxi Fenxi Mining Group Co.,Ltd.,Lvliang,Shanxi 033000,China)
出处 《测绘科学》 CSCD 北大核心 2021年第11期56-62,97,共8页 Science of Surveying and Mapping
基金 国家自然科学基金项目(51574132)。
关键词 开采沉陷 SBAS-InSAR Offset-Tracking 大梯度形变 融合 mining subsidence SBAS-InSAR Offset-Tracking large gradient deformation fusion
  • 相关文献

参考文献7

二级参考文献82

共引文献112

同被引文献83

引证文献9

二级引证文献34

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部