Seismic Data Reconstruction via Wavelet-Based Residual Deep Learning-Reference-Cited by-同舟云学术

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Seismic Data Reconstruction via Wavelet-Based Residual Deep Learning

Published:2022 Issue: Volume:60 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Naihao¹^ORCID,Wu Lukun²,Wang Jiale²,Wu Hao³,Gao Jinghuai¹^ORCID,Wang Dehua⁴^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. School of Earth Resources, China University of Geosciences, Wuhan, China

4. Department of Mathematics, Xi’an Technological University, Xi’an, 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/ielx7/36/9633014/09716927.pdf?arnumber=9716927

Reference65 articles.

1. Seismic Data Consecutively Missing Trace Interpolation Based on Multistage Neural Network Training Process

2. Consecutively Missing Seismic Data Interpolation Based on Coordinate Attention Unet

3. DTAE: Deep Tensor Autoencoder for 3-D Seismic Data Interpolation

4. Deep-learning-based seismic data interpolation: A preliminary result

5. Seismic attribute selection for machine-learning-based facies analysis

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