摘要
在目前的探地雷达管线探测中,埋藏管线产生的双曲线特征是专业人员用来推断和解释目标的主要依据,但双曲线特征尚不能精准界定管线目标的属性材料.为了进一步对管线反射双曲线区域特征的解释分析,本文首先对经过预处理的GPR数据,运用图像处理手段对感兴趣的管线回波双曲线异常区域进行自动圈定,定位管线位置.然后综合分析管线信号时频谱特征和瞬时相位特征这些具有区分力的多参数特征,判定管线属性材料,完成对管线的提取与识别.最后,将该方法运用于模拟数据与实测数据之中,实现了管线的自动提取与参数特征分类识别,为GPR数据解释提供了指导意义.
In the results of pipes detection using Ground-Penetrating Radar(GPR)at the present,the hyperbolic characteristics generated by buried pipes in GPR profile are the main basis for experienced GPR experts to infer and interpret the location of the pipes,but the hyperbolic characteristics are not able to determine the attributes of the pipes.To interpret further the characteristics of the pipes in the reflection hyperbola area,in this paper,the preprocessing method first is applied to the GPR data,then image processing technology is used to automatically delineate the hyperbolas abnormal area in the region of interest from GPR profiles for locating pipes.Finally,the time-frequency spectral characteristics and instantaneous phase characteristics of pipe signal with multiple discriminative characteristics are analyzed comprehensively to determine the pipes attribute materials.The method described here can realize the extraction and classification of pipes in GPR detection.Furthermore,the proposed method is applied for the simulated data and measured data to realize the extraction and classification of pipes with multi-parameter characteristics,which guides the interpretation of GPR data.
作者
杨军
张华
冯德山
罗相涛
袁忠明
柳杰
王珣
YANG Jun;ZHANG Hua;FENG DeShan;LUO XiangTao;YUAN ZhongMing;LIU Jie;WANG Xun(Guangzhou Municipal Engineering Design and Research Institute Company Limited,Guangzhou 510060,China;School of Geosciences and Info-Physics,Central South University,Changsha 410083,China;Key Laboratory of Non-ferrous Resources and Geological Detection,Ministry of Hunan province,Changsha 410083,China)
出处
《地球物理学进展》
CSCD
北大核心
2021年第3期1333-1340,共8页
Progress in Geophysics
基金
国家自然科学基金资助项目(41774132)
广州市市政工程设计研究总院有限公司重大攻关资助项目(1-43010100)联合资助。
关键词
探地雷达
管线探测
时频谱特征
瞬时相位特征
提取与识别
Ground Penetrating Radar(GPR)
Pipeline detection
Time-frequency spectrum characteristic
Instantaneous phase characteristic
Extraction and recognition
