| Low-frequency noise suppression method based on improved DnCNN in desert seismic data Y Zhao, Y Li, X Dong, B Yang IEEE Geoscience and Remote Sensing Letters 16 (5), 811-815, 2018 | 126 | 2018 |
| Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic XT Dong, Y Li, BJ Yang Geophysical Journal International 219 (2), 1281-1299, 2019 | 90 | 2019 |
| Denoising the optical fiber seismic data by using convolutional adversarial network based on loss balance X Dong, Y Li IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10544-10554, 2020 | 70 | 2020 |
| New suppression technology for low-frequency noise in desert region: The improved robust principal component analysis based on prediction of neural network X Dong, T Zhong, Y Li IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4680-4690, 2020 | 58 | 2020 |
| Seismic shot gather denoising by using a supervised-deep-learning method with weak dependence on real noise data: A solution to the lack of real noise data X Dong, J Lin, S Lu, X Huang, H Wang, Y Li Surveys in Geophysics 43 (5), 1363-1394, 2022 | 49 | 2022 |
| RCEN: a deep-learning-based background noise suppression method for DAS-VSP records T Zhong, M Cheng, S Lu, X Dong, Y Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 48 | 2021 |
| Seismic random noise attenuation by applying multiscale denoising convolutional neural network T Zhong, M Cheng, X Dong, N Wu IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 46 | 2021 |
| The denoising of desert seismic data based on cycle-GAN with unpaired data training Y Li, H Wang, X Dong IEEE Geoscience and Remote Sensing Letters 18 (11), 2016-2020, 2020 | 45 | 2020 |
| Generative adversarial network for desert seismic data denoising H Wang, Y Li, X Dong IEEE Transactions on Geoscience and Remote Sensing 59 (8), 7062-7075, 2020 | 44 | 2020 |
| Seismic random noise suppression by using deep residual U-Net T Zhong, M Cheng, X Dong, Y Li, N Wu Journal of Petroleum Science and Engineering 209, 109901, 2022 | 43 | 2022 |
| Multiscale spatial attention network for seismic data denoising X Dong, J Lin, S Lu, H Wang, Y Li IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 38 | 2022 |
| Signal-to-noise ratio enhancement for 3C downhole microseismic data based on the 3D shearlet transform and improved back-propagation neural networks X Dong, H Jiang, S Zheng, Y Li, B Yang Geophysics 84 (4), V245-V254, 2019 | 36 | 2019 |
| Random and coherent noise suppression in DAS-VSP data by using a supervised deep learning method X Dong, Y Li, T Zhong, N Wu, H Wang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 31 | 2020 |
| RMCHN: A residual modular cascaded heterogeneous network for noise suppression in DAS-VSP records T Zhong, W Wang, S Lu, X Dong, B Yang IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2022 | 30 | 2022 |
| Seismic velocity inversion transformer H Wang, J Lin, X Dong, S Lu, Y Li, B Yang Geophysics 88 (4), R513-R533, 2023 | 23 | 2023 |
| Seismic random noise suppression by using adaptive fractal conservation law method based on stationarity testing T Zhong, M Cheng, X Dong, Y Li IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3588-3600, 2020 | 19 | 2020 |
| The new technology for suppression of hilly land seismic random noise: Shearlet transform and the high order weighted threshold function XT DONG, HT MA, Y LI Chinese Journal of Geophysics 62 (10), 4039-4046, 2019 | 18 | 2019 |
| A deep-learning-based denoising method for multiarea surface seismic data X Dong, T Zhong, Y Li IEEE Geoscience and Remote Sensing Letters 18 (5), 925-929, 2020 | 17 | 2020 |
| Building adjoint operators for least-squares migration using the acoustic wave equation S Lu, H Wu, X Dong, T Zhong, L Qiu, X Li, X Deng, R Gao Geophysics 88 (2), S71-S85, 2023 | 16 | 2023 |
| New suppression technology for the random noise in the DAS seismic data based on convolutional neural network D XinTong, L Yue, LIU Fei, F QianKun, Z Tie Chinese Journal of Geophysics 64 (7), 2554-2565, 2021 | 16 | 2021 |
Shaoping LuSYSU在 mail.sysu.edu.cn 的电子邮件经过验证
