Deep Learning-Based Optimization Framework for Full-Waveform Inversion in Tunnels-Reference-Cited by-同舟云学术

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Deep Learning-Based Optimization Framework for Full-Waveform Inversion in Tunnels

Published:2024 Issue: Volume:62 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Jiang Peng¹^ORCID,Cao Shuai²^ORCID,Guo Shiyu²^ORCID,Ren Yuxiao³^ORCID,Li Yong²^ORCID

Affiliation:

1. State Key Laboratory for Tunnel Engineering, the Institute of Geotechnical and Underground Engineering, and the School of Qilu Transportation, Shandong University, Jinan, China

2. School of Qilu Transportation, Shandong University, Jinan, China

3. State Key Laboratory for Tunnel Engineering, the Institute of Geotechnical and Underground Engineering, and the School of Future Technology, Shandong University, Jinan, China

Funder

Natural Science Foundation of Shandong Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10659078.pdf?arnumber=10659078

Reference44 articles.

1. An overview of ahead geological prospecting in tunneling

2. The seismic inverse problem as a sequence of before stack migrations;Lailly

3. Inversion of seismic reflection data in the acoustic approximation

4. Monte Carlo estimation and resolution analysis of seismic background velocities

5. Monte Carlo sampling of solutions to inverse problems

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