中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

Journal of Chongqing Jiaotong University(Natural Science) ›› 2018, Vol. 37 ›› Issue (07): 64-68.DOI: 10.3969/j.issn.1674-0696.2018.07.11

• Port & Waterway · Hydraulic & Hydroelectric · Resources & Environment • Previous Articles     Next Articles

Rock Structures Analysis from GPR Radargram Based on Subspace Method

ZUO Jie1, OU Jiali1, LIU Jinlian2   

  1. (1. Jangsu Branch CCCC Third Harbor Engineering Co., Ltd., Lianyungang 222042, Jiangsu, P.R.China; 2. School of Traffic & Transportation, Changsha University of Science and Technology, Changsha 410076, Hunan, P.R.China)
  • Received:2017-05-05 Revised:2017-09-26 Online:2018-07-09 Published:2018-07-09

基于数据子空间的探地雷达图像岩体结构分析

左杰1,欧加利1,刘金莲2   

  1. (1. 中交第三航务工程局有限公司江苏分公司,江苏 连云港 222042;2. 长沙理工大学 交通运输学院, 湖南 长沙 410076)
  • 作者简介:左杰(1987—),男,湖南常德人,工程师,主要从事隧道工程施工和监测、监控方面的技术研究工作。E-mail:215082485@qq.com。
  • 基金资助:
    湖南省自然科学基金资助项目(14JJ3090)

Abstract: Ground penetrating radar was taken as a feasible remote sensing tool for surveying subsurface geo-structure. This structural information was recorded in radar signal profiles by means of echo signal detection, amplitude, and phase estimation. Besides the energy attenuation and absorption of GPR EM pulse during its propagation into the subsurface from a transmitting antenna, the strong interferences, clutters, background scatters, random noises, and multiples often make the weak signal of structure signatures hardly distinguishable. Furthermore, detecting fractures with multiple signal classifications on subspace is difficult. With experimental field surveying data, it is illustrated that this method can achieve efficiently sparse representation of subsurface structure and yields discriminative fracture signatures for geological interpretation.

Key words: geotechnical engineering, ground penetrating radar, characteristics of rockmass structures, subspace, multiple signal classification

摘要: 地下岩体结构探地雷达探测方法是一种行之有效的方法,探测中探地雷达向地下发射电磁波并记录回波,地下地质结构信息以探地雷达记录的回波图像数据表示。由于环境的复杂性、雷达回波记录信号在传输过程中能量衰减,使得有用的小目标弱回波信号被杂波、噪声等干扰与掩埋,探地雷达记录信号中地下小目标结构特征难于识别,地质解译困难。研究信号子空间多信号分类的数值分析方法,分析处理探地雷达图像剖面数据,并以模拟实验和探地雷达在隧道超前地质预报场地实验中采集的数据为例,验证本方法的有效性,得到了好的效果,实验证明本方法可行。

关键词: 岩土工程, 探地雷达, 岩体结构特征, 子空间, 多信号分类

CLC Number: