摘要
利用相邻道信号具有相似性的特征,对探地雷达回波信号,采用地震勘探奇异性检测的方法,运用二进小波变换的模极大值,提出了一种改进的、基于相关道奇异性检测的算法并予以实现.分别使用原小波变换奇异性检测算法和相关道奇异性检测算法,对一组探地雷达正演分层回波数据进行处理.处理结果表明,改进的方法较原方法能够更准确地检测出探地雷达回波信号的奇异点,能更好地去除噪声和其他因素对信号的干扰以及发现地下异常.改进算法对奇异性检测具有显著的优越性,为目标识别和图像重构等后继处理提供了有力的支持.
By means of the characteristic that neighboring scan signal has similarity, basing on the singularity detection of seismic trace, using the module maxima of binary wavelet transform,the paper presents an new improved algorithm and application about the singularity detection of neighboring scan, which can be applied into GPR echo signal. Furthermore, by providing a set of processing results on the GPR stratified echo signal, this improved algorithm,compared with the old algorithm, can detect the singularity of GPR echo signal, restrain the noise's and other disturbance more efficiently and find underground exception. It has remarkable superiority to singularity detection.And it provides powerful supports for later procession, such as object identification, image reconstruction and so on.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2004年第3期375-378,共4页
Journal of Wuhan University:Natural Science Edition
基金
国家863计划资助项目(2001AA132050 03)
国家自然科学基金资助项目(50099620)
长江水利委员会资助项目
关键词
小波变换
模极大值
相关道
奇异性检测
wavelet transform
module maxima
neighboring scan
singularity detection
