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Active Source Seismic Identification and Automatic Picking of the P-wave First Arrival Using a Convolutional Neural Network

XU Zhen WANG Tao XU Shanhui WANG Baoshan FENG Xuping SHI Jing YANG Minghan

中国地震研究（英文版）2019，Vol.33Issue(2)：288-304,17.

中国地震研究（英文版）2019，Vol.33Issue(2)：288-304,17.DOI:10.19743/j.cnki.0891-4176.201902014

Active Source Seismic Identification and Automatic Picking of the P-wave First Arrival Using a Convolutional Neural Network

XU Zhen ¹WANG Tao ¹XU Shanhui ²WANG Baoshan ²FENG Xuping ³SHI Jing ¹YANG Minghan¹

作者信息

1. Institute of Earth Exploration and Sensing( IEES), School of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, China
2. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China
3. School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
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摘要

关键词

CNN/Active source seismic identification/First arrival picking/Anti-noiseability

Key words

CNN/Active source seismic identification/First arrival picking/Anti-noiseability

引用本文复制引用

XU Zhen,WANG Tao,XU Shanhui,WANG Baoshan,FENG Xuping,SHI Jing,YANG Minghan..Active Source Seismic Identification and Automatic Picking of the P-wave First Arrival Using a Convolutional Neural Network[J].中国地震研究（英文版）,2019,33(2):288-304,17.

基金项目

This project is sponsored by the National Key Research and Development Project (2018YFC1503202-01) and the Emergency Management Project of the National Natural Science Foundation of China(41842042). （2018YFC1503202-01）

中国地震研究（英文版）

OACSCD

ISSN：2096-9996

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