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Xiaokai Wang
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Poststack seismic data denoising based on 3-D convolutional neural network
D Liu, W Wang, X Wang, C Wang, J Pei, W Chen
IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1598-1629, 2019
1042019
Random noise suppression in seismic data: What can deep learning do?
D Liu, W Wang, W Chen, X Wang, Y Zhou, Z Shi
SEG International Exposition and Annual Meeting, SEG-2018-2998114, 2018
682018
Distributed acoustic sensing coupling noise removal based on sparse optimization
J Chen, J Ning, W Chen, X Wang, W Wang, G Zhang
Interpretation 7 (2), T373-T382, 2019
512019
An unsupervised deep learning method for denoising prestack random noise
D Liu, Z Deng, C Wang, X Wang, W Chen
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
392020
The applications of synchrosqueezing time-frequency analysis in high-speed train induced seismic data processing
XK WANG, WC CHEN, JC WEN, JY NING, JQ LI
Chinese Journal of Geophysics 62 (6), 2328-2335, 2019
292019
Hybrid image denoising method based on non‐subsampled contourlet transform and bandelet transform
X Wang, W Chen, J Gao, C Wang
IET Image Processing 12 (5), 778-784, 2018
282018
Sparse modeling of seismic signals produced by high-speed trains
XK WANG, JY CHEN, WC CHEN, YR JIANG, TZ BAO, JY NING
Chinese Journal of Geophysics 62 (6), 2336-2343, 2019
262019
An efficient implementation of eigenstructure-based coherence algorithm using recursion strategies and the power method
X Wang, J Gao, W Chen, Y Song
Journal of Applied Geophysics 82, 11-18, 2012
242012
Robust seismic volumetric dip estimation combining structure tensor and multiwindow technology
X Wang, W Chen, Z Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (1), 395-405, 2018
212018
The seismic random noise attenuation method based on enhanced bandelet transform
X Wang, J Gao, W Chen, C Yang
Journal of Applied Geophysics 116, 146-155, 2015
172015
基于时频自适应最优核的时频分析方法
王晓凯, 高静怀, 何洋洋
系统工程与电子技术 32 (1), 22-26, 2010
172010
Sparsity-optimized separation of body waves and ground-roll by constructing dictionaries using tunable Q-factor wavelet transforms with different Q-factors
X Chen, W Chen, X Wang, W Wang
Geophysical Journal International 211 (1), 621-636, 2017
162017
Image denoising method based on nonsubsampled contourlet transform and bandelet transform
X Wang, J Gao
2009 first international conference on information science and engineering …, 2009
152009
Seismic attenuation qualitative characterizing method based on adaptive optimal-kernel time–frequency representation
X Wang, J Gao, W Chen, W Zhao, X Jiang, Z Zhu
Journal of Applied Geophysics 89, 125-133, 2013
112013
Eliminating harmonic noise in vibroseis data through sparsity-promoted waveform modeling
D Liu, X Li, W Wang, X Wang, Z Shi, W Chen
Geophysics 87 (3), V183-V191, 2022
102022
Estimating the dip by constructing gradient structure tensor on instantaneous phase
X Wang, C Yang, W Chen, J Gao, Z Zhu
SEG International Exposition and Annual Meeting, SEG-2014-0960, 2014
102014
Must we have labels for denoising seismic data based on deep learning?
D Liu*, Z Deng, X Wang, W Wang, Z Shi, C Wang, W Chen
SEG 2019 Workshop: Mathematical Geophysics: Traditional vs Learning, Beijing …, 2020
92020
Adaptive optimal-kernel time-frequency representation and its application in characterizing seismic attenuation
X Wang, J Gao, W Chen, J Xu, W Zhao, X Jiang
SEG International Exposition and Annual Meeting, SEG-2011-1046, 2011
92011
局部瞬时频率提取及其在大庆油田中的应用
张尔华, 王晓凯, 高静怀, 沈加刚, 吴晗冰
地球物理学进展 26 (3), 1064-1069, 2011
72011
A convolutional neural network for seismic dip estimation
D Liu, X Wang, Z Shi, Y Zhou, W Chen
SEG Technical Program Expanded Abstracts 2019, 2634-2638, 2019
62019
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