Results 181 to 190 of about 1,182 (196)

Application of Wavelet Analysis in Denoising Seismic Data

Applied Mechanics and Materials, 2014
The random noise is the kind of noise with wide frequency band in seismic data detected by the optical acceleration sensors. The noises influence and destroy the useful signal of the seismic information. There are a lot of methods to remove noise and one of the standard methods to remove the noise of the signal was the fast Fourier transform (FFT ...
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Denoising and Storage in Seismic Reverse Time Migration

Chinese Journal of Geophysics, 2010
AbstractPre‐stack reverse time migration (RTM) is a very useful tool for seismic imaging. It has, however, some problems such as highly intensive computation cost, low‐frequency imaging noise and massy memory demand. The problem of time consuming for calculation can be solved by GPU/CPU collaborative computation. This paper focuses on suppressing noise
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SAPD: Self-Attention Progressive Seismic Data Denoising

2023 International Conference on Machine Learning and Cybernetics (ICMLC), 2023
Ke Wang 0049, Lin-Rong Wang, Shulin Pan, Fan Min 0001   +3 more
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Multiscale Spatial Attention Network for Seismic Data Denoising

IEEE Transactions on Geoscience and Remote Sensing, 2022
Xintong Dong, Jun Lin 0003, Shaoping Lu, Hongzhou Wang, Yue Li 0003   +4 more
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Swin Transformer for Seismic Denoising

IEEE Geoscience and Remote Sensing Letters
Fang Li, Hailong Liu, Wei Wang 0480, Jianwei Ma   +3 more
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Robust reduced-rank seismic denoising

SEG Technical Program Expanded Abstracts 2013, 2013
Ke Chen, Mauricio D. Sacchi
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Unsupervised Seismic Data Denoising Using Diffusion Denoising Model

IEEE Transactions on Geoscience and Remote Sensing
Fuyao Sun, Hongbo Lin, Yue Li 0003
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Seismic denoising diffusion restoration model for seismic data processing

Engineering Applications of Artificial Intelligence
Kewen Li 0002, Jian Ma, Yimin Dou, Yingzhi Zhao, Zhixuan Yang, Zhaohui Li   +5 more
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Application of improved AlexNet for seismic data denoising

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 2023
ji shangran, shan wei, zhao dan, yue yurong, cui shaohua   +4 more
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Seismic Denoising via Multiround SCU-Net

IEEE Geoscience and Remote Sensing Letters
Yuli Qi, Guoxin Chen, Jinxin Chen, Jun Li, Rongsen Du, Haiyang Lu, Naijian Wang, Xingguo Huang   +7 more
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