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小波分析在地质雷达反射目标提取的应用
引用本文:黄航如,程志平,王小龙,常志岐.小波分析在地质雷达反射目标提取的应用[J].工程地球物理学报,2012(1):99-102.
作者姓名:黄航如  程志平  王小龙  常志岐
作者单位:桂林理工大学地球科学学院,广西桂林541004
摘    要:电磁波在地下的传播遇到不同电性介质界面时,产生不同强度的反射。当信号接收到反射子波的时候,会引起幅值的突变,引起信号的不连续。小波分析具有空间局部化性质,能有效地检测信号的奇异点。表现为小波分析系数在信号突变点有系数模极大值。以此能通过阀值处理保留系数模极大值,保留信号的奇异点有效信息。以此特性对小波分析应用在地质雷达数据处理对信号异常点的提取。

关 键 词:地质雷达  数据处理  小波分析

The Application of Wavelet Analysis to GPR Reflective Target Extract
Huang Hangru,Cheng Zhiping,Wang Xiaolong,Chang Zhiqi.The Application of Wavelet Analysis to GPR Reflective Target Extract[J].Chinese Journal of Engineering Geophysics,2012(1):99-102.
Authors:Huang Hangru  Cheng Zhiping  Wang Xiaolong  Chang Zhiqi
Affiliation:(College of Earth Sciences, Guilin University of Technology, Guilin Guangxi 541004,China)
Abstract:The propagation of electromagnetic waves underground encountering different medium interfaces of electric property produces different reflected intensities. A signal receiving a reflective wavelet will cause the amplitude to change suddenly and the signal cannot work continuously. Wavelet analysis has the characteristic of spatial localization and can detect the singular points of a signal. It is shown that wavelet analysis coefficient has the feature of modulus maximums during the sudden changes of the signal. Therefore, the modulus maximums and the effective data from the singular points of the signal are kept through threshold processing, and the wavelet analysis is applied to GPR data processing for extracting the singular points of the signal.
Keywords:GPR  geological data processing  wavelet analysis
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