Ridgelet transform with application in ground penetrating radar processing

被引：0

作者：

Zhang, Zhi-Yu ^{[1
]}

Zhang, Jiu-Long ^{[2
]}

Yu, Hai-Yan ^{[3
]}

Lu, Yan-Jun ^{[1
]}

机构：

[1] Xian Univ Technol, Sch Automat & Informat Engn, Xian 710048, Peoples R China

[2] Xian Univ Technol, Sch Comp Sci & Engn, Xian 710048, Peoples R China

[3] Xian Inst Post & Telecomm, Dept Informat, Xian 710121, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

ridgelet transform; Ground Penetrating Radar(GPR); background noise; clutter reduction;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Ridgelet is the new development of wavelet dealing with line singularities in signals. In ground penetrating radar (GPR) signal, the direct wave is a strong noise which has line singularity. In lime-space domain, the useful informnation in GPR signal is badly polluted by strong direct wave so that the underground targets can not be recognized correctly Ridgelet overcomes the disadvantages of wavelets in dealing g with high dimensions that if can effectively represent singularities along lines or hyperplanes. Concerning the characteristics of GPR signals, the ridgelet transform is employed to remove the background noise and separate the direct wave. The simulation results for real GPR signals demonstrate its effectiveness.

引用

页码：1054 / +

页数：3

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