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Biorthogonal wavelet energy entropy method with different time windows for strong interference processing of GPR signals

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成果类型:
期刊论文
作者:
Zhang, Liang;Zhang, Sheng;Ling, Tonghua;Huang, Fu
通讯作者:
Zhang, L
作者机构:
[Zhang, Liang; Zhang, Sheng; Zhang, L] Hunan City Univ, Hunan Engn Res Ctr Struct Safety & Disaster Preven, Yiyang 413000, Peoples R China.
[Zhang, Liang; Zhang, Sheng] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
[Ling, Tonghua; Huang, Fu] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Peoples R China.
通讯机构:
[Zhang, L ] H
Hunan City Univ, Hunan Engn Res Ctr Struct Safety & Disaster Preven, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
Geological surveys;Geophysical prospecting;Ground penetrating radar systems;Image enhancement;Radar imaging;Signal interference;Biorthogonal wavelet;Biorthogonal wavelet decomposition;Energy-entropy;Ground penetrating radar;Interference signal;Spectra's;Spectrum whitening;Strong interference;Strong interference signal;Wavelets decomposition;Wavelet decomposition;detection method;ground penetrating radar;image processing;spectrum;steel structure;tunnel lining;wavelet analysis
期刊:
Journal of Applied Geophysics
ISSN:
0926-9851
年:
2023
卷:
216
页码:
105158
基金类别:
The research described in this paper was financially supported by the National Natural Science Foundation of China (Nos. 51878074 and 52078061 ), the Natural Science Foundation of Hunan Province in China (Nos. 2018JJ3022 and 2020JJ5588 ), the Outstanding Youth Project of Hunan Provincial Department of Education ( 21B0725 ), and the Open Fund of Key Laboratory of Urban Underground Engineering of Ministry of Education, Beijing Jiaotong University ( TUC2022-02 ).
机构署名:
本校为第一且通讯机构
院系归属:
土木工程学院
摘要:
In the light of the shielding effect of the strong reflection signal generated by the steel bars and the inhomogeneous of concrete materials on the weak signal in the tunnel lining detection, a high-resolution GPR image processing method of biorthogonal wavelet energy entropy in different time windows is proposed. Wavelet analysis has the characteristics of multiresolution, and wavelet entropy can represent the energy distribution characteristics of signals in different time windows with different scales. Firstly, the discrete biorthogonal wave...

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