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[1]刘晓艳,贾明涛.基于改进EMD—小波阈值联合去噪的城市地下管线识别与定位[J].中国安全生产科学技术,2015,11(6):56-62.[doi:10.11731/j.issn.1673-193x.2015.06.009]
　LIU Xiao-yan,JIA Ming-tao.Identification and positioning of urban underground pipeline based on joint denoising of improved EMD and wavelet threshold[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(6):56-62.[doi:10.11731/j.issn.1673-193x.2015.06.009]
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基于改进EMD—小波阈值联合去噪的城市地下管线识别与定位
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
11
期数:
2015年6期
页码:
56-62
栏目:
学术论著
出版日期:
2015-06-30

文章信息/Info

Title:
Identification and positioning of urban underground pipeline based on joint denoising of improved EMD and wavelet threshold
作者:
刘晓艳1; 2; 贾明涛1; 2
（1.中南大学 资源与安全工程学院，湖南 长沙 410083；2.中南大学数字矿山研究中心，湖南 长沙 410083）
Author(s):
LIU Xiao-yan1; 2; JIA Ming-tao1; 2
（1. School of Resources and Safety Engineering, Central South University, Changsha Hunan 410083, China; 2. Research Center of Digital Mine, Central South University, Changsha Hunan 410083, China)
关键词:
城市地下管线; GPR和GPRMax; EMD分解; 小波阈值去噪; 识别与定位
Keywords:
urban underground pipeline;  GPR and GPRMax;  EMD decomposition;  wavelet threshold denoising;  identification and positioning
分类号:
X924.2
DOI:
10.11731/j.issn.1673-193x.2015.06.009
文献标志码:
A
摘要:
探地雷达(GPR)目标回波信号极易由于背景杂波的干扰而被淹没。为了有效滤出杂波，提出了一种改进的EMD-小波阈值联合去噪法，即用改进的基于统计特性和自相关函数特性的EMD去噪法对回波信号进行预处理，在此基础上对EMD分解后的噪声主导模态分量进行小波阈值处理，最后进行信号的重构。结果表明，该联合去噪法不仅可以有效地滤除杂波，而且最大限度地保留了目标回波有用信号，从而使去噪后的回波剖面为城市地下管线的识别与定位提供了可靠的图像解释资料。
Abstract:
Due to the interference of background clutter, the target echo signal of Ground Penetrating Radar (GPR) can easily be covered. In order to filter out the clutter effectively, a joint denoising method of improved EMD and wavelet threshold was put forward. The pretreatment of echo signals was conducted using the improved EMD method based on the statistical properties and the characteristics of autocorrelative function, then the further treatment for noise-dominated modal components from EMD decomposition was treated with wavelet threshold de-noising method, finally the signals were reconstructed. The results showed that this method can not only effectively filter out the clutter, but also retain the useful target echo signals to the utmost extent, so the echo profile after denosing can provide reliable image interpretation information for identification and positioning of urban underground pipeline.

参考文献/References:

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备注/Memo

备注/Memo:
国家高技术研究发展计划（863）项目（2011AA060407）
更新日期/Last Update: 2015-06-30