Physically Driven Self-Supervised Learning and its Applications in Geophysical Inversion-Reference-Cited by-同舟云学术

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Physically Driven Self-Supervised Learning and its Applications in Geophysical Inversion

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:

Yang Yang¹^ORCID,Wang Zhuo²,Liu Naihao¹^ORCID,Wang Jingyu¹^ORCID,Pang Shanmin²,Liu Rongchang³,Gao Jinghuai¹^ORCID

Affiliation:

1. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China

2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, China

3. PetroChina Research Institute of Petroleum Exploration and Development (RIPED), CNPC, Beijing, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Shaanxi, China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation Project

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10443850.pdf?arnumber=10443850

Reference59 articles.

1. Learning Efficient Data Representations With Orthogonal Sparse Coding

2. Adaptive Seismic Single-Channel Deconvolution via Convolutional Sparse Coding Model

3. Robust sparse coding for face recognition

4. Robust Image Fingerprinting via Distortion-Resistant Sparse Coding

5. Fast Dictionary Learning for High-Dimensional Seismic Reconstruction

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive-Sampling Physics-Informed Neural Network for Viscoacoustic Wavefield Simulation;IEEE Geoscience and Remote Sensing Letters;2024

2. A Lightweight Network for Seismic Phase Picking on Embedded Systems;IEEE Access;2024

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