The following publications are possibly variants of this publication:
- Deep Residual Encoder-Decoder Networks for Desert Seismic Noise SuppressionHaitao Ma, Haiyang Yao, Yue Li 0003, Hongzhou Wang. lgrs, 17(3):529-533, 2020. [doi]
- Relative Attributes-Based Generative Adversarial Network for Desert Seismic Noise SuppressionHaitao Ma, Yu Sun, Ning Wu, Yue Li 0003. lgrs, 19:1-5, 2022. [doi]
- Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun, Dong, Jin Song. IEEE Transactions on Dependable and Secure Computing, , 2022.
- A U-Net Based Deep Learning Approach for Seismic Random Noise SuppressionTingting Bai, Haixia Zhao, Zhiqiang Wang. igarss 2022: 6165-6168 [doi]
- A Branch Construction-Based CNN Denoiser for Desert Seismic DataHongbo Lin, Shifu Wang, Yue Li 0003. lgrs, 18(4):736-740, 2021. [doi]
- Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component ExtractionHaitao Ma, Jie Yan, Yue Li 0003. lgrs, 17(2):337-341, 2020. [doi]
- Noise suppression method based on multi-scale Dilated Convolution Network in desert seismic dataYue Li, Yuying Wang, Ning Wu. gandc, 156:104910, 2021. [doi]
- Seismic Random Noise Suppression Based on Deep Image Prior and Total VariationXingye Liu, Fen Lyu, Li Chen, Chao Li 0016, Shaohuan Zu, Benfeng Wang. tgrs, 62:1-11, 2024. [doi]
- Seismic Data Interpolation by Learning a Denoiser With Deep Implicit PriorFeiying Wang, Zhao Liu, Fang Li, Qixin Hu, Jianwei Ma. lgrs, 20:1-5, 2023. [doi]