摘要
为研究探地雷达(GPR)对路面的缺陷检测识别,针对路用探地雷达信号的处理问题,通过在路面基层内各层界面处埋置金属板,分别对数字滤波、反褶积、波动方程偏移和小波多尺度去噪等方法的处理效果进行对比,提出了对提高异常的分辨率和奇异值分解具有明显效果的方法,并应用于道路现场检测中。结果表明,反褶积和波动方程偏移处理对提高异常的分辨率具有明显效果,小波变换技术分析具有很好的去噪和奇异值分解效果,可以减少处理数据的工作量和增加检测的准确性。
In order to study road surface flaw recognition by ground penetrating radar （GPR） , for signal processing of ground penetrating radar echo, through embedding metal plate in each contact surface of base course, the denoising effects of digital filtering, deconvolution, wave equation migration, and muhiscale wavelet analysis were compared. Then, the obviously effective methods for improving abnormal resolution and singular value decomposition were proposed and used for road detection. The results show that （1） deconvolution and wave equation migration have obvious effect for improving abnormal resolution; （2） wavelet transform technique has good effect of denoising and singular value decomposition, so it can reduce the work load of data processing and increase the accuracy of examination.
出处
《公路交通科技》
CAS
CSCD
北大核心
2011年第10期40-43,69,共5页
Journal of Highway and Transportation Research and Development
基金
河南省科技攻关项目(07210360062)
关键词
道路工程
路面检测
探地雷达
信号处理
反褶积
偏移处理
小波分析
road engineering
road detection
ground penetrating radar
signal processing
deconvolution
migration processing
wavelet analysis
