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FilterNet:A CNN-RNN based filter model used for raw tunnel lining GPR data

Bang Zhang Yuqi Cai Ziye Yu Kai Li

地震研究进展（英文）2025，Vol.5Issue(4)：66-74,9.

地震研究进展（英文）2025，Vol.5Issue(4)：66-74,9.DOI:10.1016/j.eqrea.2025.100374

FilterNet:A CNN-RNN based filter model used for raw tunnel lining GPR data

Bang Zhang ¹Yuqi Cai ²Ziye Yu ²Kai Li¹

作者信息

1. China Railway Siyuan Survey and Design Group CO.,LTD.,Hubei,430063,China
2. Institute of Geophysics,China Earthquake Administration,Beijing,100081,China
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摘要

关键词

Ground penetrating radar/Deep learning/Data filtering/Recurrent neural network/Convolution neural network

Key words

Ground penetrating radar/Deep learning/Data filtering/Recurrent neural network/Convolution neural network

引用本文复制引用

Bang Zhang,Yuqi Cai,Ziye Yu,Kai Li..FilterNet:A CNN-RNN based filter model used for raw tunnel lining GPR data[J].地震研究进展（英文）,2025,5(4):66-74,9.

基金项目

All authors agree for this publication.The authors thank the anony-mous reviewers for the constructive suggestions and the editor for their help during the submission.This work is supported by China Railway Construction Corporation Limited(CRCC)Major Science and Technology Special Project:Research,Development,and Application Demonstraction of Gelogical Information Digital Platform(Project No.:2021-A02). （CRCC）

地震研究进展（英文）

OACSCD

ISSN：2096-9996

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