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Cited article:

Removing random noise and improving the resolution of seismic data using deep‐learning transformers

Qifeng Sun, Yali Feng, Qizhen Du and Faming Gong
Geophysical Prospecting 73 (2) 611 (2025)
https://doi.org/10.1111/1365-2478.13617

Super-Resolution Reconstruction of Seismic Images Based on Deep Residual Channel Attention Mechanism

Jianli Liu, Junxing Cao, Lingsen Zhao, Jiachun You and Hong Li
IEEE Access 12 149032 (2024)
https://doi.org/10.1109/ACCESS.2024.3477984

Seismic image super-resolution reconstruction through deep feature mining network

Dou Zeng, Qiong Xu, Shulin Pan, Guojie Song and Fan Min
Applied Intelligence 53 (19) 21875 (2023)
https://doi.org/10.1007/s10489-023-04660-y

Seismic Random Noise Suppression Model Based on Downsampling and Superresolution

Ziyi Fang, Hongbo Lin, Fuyao Sun, et al.
IEEE Transactions on Geoscience and Remote Sensing 61 1 (2023)
https://doi.org/10.1109/TGRS.2023.3279866

Deep Learning With Fault Prior for 3-D Seismic Data Super-Resolution

Ruoshui Zhou, Cheng Zhou, Yaojun Wang, Xingmiao Yao, Guangmin Hu and Fucai Yu
IEEE Transactions on Geoscience and Remote Sensing 61 1 (2023)
https://doi.org/10.1109/TGRS.2023.3262884