A Sample Selection Method for Neural-Network-Based Rayleigh Wave Inversion-Reference-Cited by-同舟云学术

A Sample Selection Method for Neural-Network-Based Rayleigh Wave Inversion

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yang Xiao-Hui¹^ORCID,Zu Qiang²,Zhou Yuanyuan¹^ORCID,Han Peng²^ORCID,Chen Xiaofei²

Affiliation:

1. Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China

2. Department of Earth and Space Sciences, Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology, the Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology, Southern University of Science and Technology, Shenzhen, China

Funder

National Key Research and Development Program of China

Research Fund of Chengdu University of Information Technology

Science and Technology Program of Shenzhen

Guangdong Provincial Key Laboratory of Geophysical High-Resolution Imaging Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10360176.pdf?arnumber=10360176

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