首页 | 官方网站   微博 | 高级检索  
     

Feature Extraction and Classification of Echo Signal of Ground Penetrating Radar
作者姓名:ZHOU  Hui-lin  TIAN  Mao  CHEN  Xiao-li
作者单位:School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China
基金项目:Supported by the National Natural Science Foundation of China (49984001)
摘    要:0IntroductionGrvoeluonpde dpienne rtercaetinntg y reaardsa r, (wGhiPchR)is i se map lnoeywedte bcyh nsicqieunet idset-and engineers to obtaininformationfromsubsurface and man-made structures .It has advantage of quick,easy and non-de-structive way toi mage the first few meters of the subsurfaceSo,it is widely used in utility location,landmine detectionroad and airport runway inspection,geophysical survey,andarchaeological investigations ,etc1 ,2]. Conventionally,radaecho signals can be form…

关 键 词:GPR  地面雷达  信号检测  双波传递  多层结构
文章编号:1007-1202(2005)06-1009-04
收稿时间:2005-01-05

Feature extraction and classification of echo signal of ground penetrating radar
ZHOU Hui-lin TIAN Mao CHEN Xiao-li.Feature Extraction and Classification of Echo Signal of Ground Penetrating Radar[J].Wuhan University Journal of Natural Sciences,2005,10(6):1009-1012.
Authors:Zhou Hui-lin  Tian Mao  Chen Xiao-li
Affiliation:(1) School of Electronic Information, Wuhan University, 430072 Wuhan, Hubei, China
Abstract:Automatic feature extraction and classification algorithm of echo signal of ground penetrating radar is presented. Dyadic wavelet transform and the average energy of the wavelet coefficients are applied in this paper to decompose and extract feature of the echo signal. Then, the extracted feature vector is fed up to a feed forward muhi layer perceptron classifier. Experimental results based on the measured GPR, echo signals obtained from the Mei shan railway are presented.
Keywords:ground penetrating radar  nonstationary signal  dyadic wavelet transform  feed-forward multi-layer perceptron  back propagation algorithm
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号