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Gao, Yang, Zhao, Pingqi, Li, Guofa, Li, Hao (2021) Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach. Geophysical Prospecting, 69 (5) 984-1002 doi:10.1111/1365-2478.13070

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Reference TypeJournal (article/letter/editorial)
TitleSeismic noise attenuation by signal reconstruction: an unsupervised machine learning approach
JournalGeophysical Prospecting
AuthorsGao, YangAuthor
Zhao, PingqiAuthor
Li, GuofaAuthor
Li, HaoAuthor
Year2021 (June)Volume69
Issue5
PublisherWiley
DOIdoi:10.1111/1365-2478.13070Search in ResearchGate
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Mindat Ref. ID13886422Long-form Identifiermindat:1:5:13886422:6
GUID0
Full ReferenceGao, Yang, Zhao, Pingqi, Li, Guofa, Li, Hao (2021) Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach. Geophysical Prospecting, 69 (5) 984-1002 doi:10.1111/1365-2478.13070
Plain TextGao, Yang, Zhao, Pingqi, Li, Guofa, Li, Hao (2021) Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach. Geophysical Prospecting, 69 (5) 984-1002 doi:10.1111/1365-2478.13070
In(2021, June) Geophysical Prospecting Vol. 69 (5) Wiley

See Also

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Wang, Jing, Wu, Bangyu, Yang, Hui, Li, Bo (2024) Re‐visible blind block network: An unsupervised seismic data random noise attenuation method. Geophysical Prospecting, 72 (7). doi:10.1111/1365-2478.13559
Jeong, Woodon, Almubarak, Mohammed S., Tsingas, Constantinos (2021) Seismic erratic noise attenuation using unsupervised anomaly detection. Geophysical Prospecting, 69 (7) 1473-1486 doi:10.1111/1365-2478.13123
Sun, Jing, Hou, Song (2024) Improving signal fidelity for deep learning‐based seismic interference noise attenuation. Geophysical Prospecting, 72 (1) 142-154 doi:10.1111/1365-2478.13268
Saad, Omar M., Chen, Yangkang (2021) A fully unsupervised and highly generalized deep learning approach for random noise suppression. Geophysical Prospecting, 69 (4) 709-726 doi:10.1111/1365-2478.13062
Jun, Hyunggu, Kim, Han‐Joon (2024) Loss functions in machine learning for seismic random noise attenuation. Geophysical Prospecting, 72 (3) 978-995 doi:10.1111/1365-2478.13449
Gao, Yang, Zhang, Jialiang, Li, Hao, Li, Guofa (2022) Incorporating Structural Constraint Into the Machine Learning High-Resolution Seismic Reconstruction. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-12 doi:10.1109/tgrs.2022.3157064
Ma, Xiong, Li, Guofa, He, Shumei, Li, Hao, Wang, Zhewu (2020) Spatially constrained attenuation compensation in the mixed domain. Geophysical Prospecting, 68 (6) 1819-1833 doi:10.1111/1365-2478.12959
Feng, Zhenjie (2022) Robust fast dictionary learning for seismic noise attenuation. Geophysical Prospecting, 70 (7) 1143-1162 doi:10.1111/1365-2478.13217
Li, Kunhong, Liu, Zhining, She, Bin, Cai, Hanpeng, Wang, Yaojun, Hu, Guangmin (2021) Two‐dimensional dictionary learning for suppressing random seismic noise. Geophysical Prospecting, 69 (1) 85-100 doi:10.1111/1365-2478.13029
Zhao, Yu Xing, Li, Yue, Wu, Ning (2022) Unsupervised dual learning for seismic data denoising in the absence of labelled data. Geophysical Prospecting, 70 (2) 262-279 doi:10.1111/1365-2478.13157
Kaur, Harpreet, Fomel, Sergey, Pham, Nam (2020) Seismic ground‐roll noise attenuation using deep learning. Geophysical Prospecting, 68 (7) 2064-2077 doi:10.1111/1365-2478.12985
 
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