Multi-scale DCFF network: a new desert low-frequency noise suppression method
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geophysics,Building and Construction
Link
https://link.springer.com/content/pdf/10.1007/s40328-021-00339-3.pdf
Reference30 articles.
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3. Chang Y, Yan L, Liu L, Fang H, Zhong S (2019) Infrared Aerothermal Nonuniform Correction via Deep Multiscale Residual Network. IEEE Geosci Remote Sens Lett 16(7):1120–1124
4. Dong X, Li Y (2020) Denoising the optical fiber seismic data by using convolutional adversarial network based on loss balance. IEEE T Geosci Remote 1–11. https://doi.org/10.1109/TGRS.2020.3036065
5. Dong XT, Li Y, Yang BJ (2019) Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic. Geophys J Int 219(2):1281–1299
Cited by 2 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. Seismic Fault Identification Based on Multi-Scale Dense Convolution and Improved Long Short-Term Memory Network;IEEE Access;2023
2. Seismic Random Noise Removal Based on a Multiscale Convolution and Densely Connected Network for Noise Level Evaluation;IEEE Access;2022
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