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The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plot

Jiajun Chen Chuntao Liang Rui Xu

地震学报(英文版)2026,Vol.39Issue(2):140-155,16.
地震学报(英文版)2026,Vol.39Issue(2):140-155,16.DOI:10.1016/j.eqs.2026.01.003

The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plot

The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plot

Jiajun Chen 1Chuntao Liang 2Rui Xu3

作者信息

  • 1. Earthquake Research Center,Chengdu University of Technology,Chengdu 610059,China
  • 2. Earthquake Research Center,Chengdu University of Technology,Chengdu 610059,China||State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology 610059,Chengdu,China
  • 3. Beijing University of Science and Technology,Beijing 100089,China
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摘要

关键词

receiver function/automated quality control/deep learning/AlexNet/wiggle plot

Key words

receiver function/automated quality control/deep learning/AlexNet/wiggle plot

引用本文复制引用

Jiajun Chen,Chuntao Liang,Rui Xu..The fast quality control strategy for P-wave receiver functions based on AlexNet and wiggle plot[J].地震学报(英文版),2026,39(2):140-155,16.

基金项目

This study was partially supported by the National Natural Science Foundation of China(No.42174071),the National Key Research and Development Program of China(No.2022YFF0800601)and Sichuan Key Research and Development Program(No.2023YFS0433).We thank the developers of PyTorch.The implementation code of our proposed model can be found at https://github.com/Patrickickyourass/RFPicClassifier. (No.42174071)

地震学报(英文版)

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