Ground Truth-Free 3-D Seismic Random Noise Attenuation via Deep Tensor Convolutional Neural Networks in the Time-Frequency Domain-Reference-Cited by-同舟云学术

Ground Truth-Free 3-D Seismic Random Noise Attenuation via Deep Tensor Convolutional Neural Networks in the Time-Frequency Domain

Published:2022 Issue: Volume:60 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:

Qian Feng¹^ORCID,Liu Zhangbo²^ORCID,Wang Yan²,Zhou Yingjie³^ORCID,Hu Guangmin²

Affiliation:

1. School of Information and Communication Engineering, Center for Information Geoscience, University of Electronic Science and Technology of China (UESTC), Chengdu, China

2. School of Resources and Environment, Center for Information Geoscience, UESTC, Chengdu, China

3. College of Computer Science, Sichuan University (SCU), Chengdu, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09706193.pdf?arnumber=9706193

Reference83 articles.

1. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

2. A method of solving a convex programming problem with convergence rate o(1/k2);nesterov;Sov Math Dokl,1983

3. Online learning and stochastic approximations;bottou;On-Line Learning on Neural Networks,1998

4. Seismic Signal Denoising and Decomposition Using Deep Neural Networks

5. Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection

Cited by 19 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. Emerging technologies and supporting tools for earthquake disaster management: A perspective, challenges, and future directions;Progress in Disaster Science;2024-10

2. Unsupervised 3-D Seismic Erratic Noise Attenuation With Robust Tensor Deep Learning;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Unsupervised Intense VSP Coupling Noise Suppression With Iterative Robust Deep Learning;IEEE Transactions on Geoscience and Remote Sensing;2024

4. A Novel Generative Adversarial Network for the Removal of Noise and Baseline Drift in Seismic Signals;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities;Remote Sensing;2023-08-21