A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation
Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been a key step in seismic data processing. Deep l...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2022-01-01
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| Edice: | Remote Sensing |
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| On-line přístup: | https://www.mdpi.com/2072-4292/14/2/263 |
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