Seismic Data Reconstruction with Shearlet Operators based on Compressed Sensing

80th EAGE Conference and Exhibition 2018 ◽

10.3997/2214-4609.201801276 ◽

2018 ◽

Author(s):

N. Qin

Keyword(s):

Compressed Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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Two-Dimensional Seismic Data Reconstruction Method Based on Compressed Sensing

Communications in Computer and Information Science - Artificial Intelligence and Security ◽

10.1007/978-981-15-8086-4_25 ◽

2020 ◽

pp. 265-277

Author(s):

Caifeng Cheng ◽

Xiang’e Sun ◽

Deshu Lin

Keyword(s):

Compressed Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

Reconstruction Method ◽

Two Dimensional ◽

Seismic Data Reconstruction

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Seismic data reconstruction based on Compressed Sensing

Proceedings of the 7th International Conference on Environment and Engineering Geophysics & Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology ◽

10.2991/iceeg-16.2016.10 ◽

2016 ◽

Author(s):

Xiaona Ma ◽

Zhiyuan Li ◽

Guanghe Liang ◽

Pei Ke

Keyword(s):

Compressed Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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Compressed sensing seismic data reconstruction based on Shearlet transformation

10.1190/igc2018-422 ◽

2018 ◽

Author(s):

Qin Ning ◽

Liang Hongxian ◽

Liu Peiti

Keyword(s):

Compressed Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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Non-convex compressed sensing with frequency mask for seismic data reconstruction and denoising

Geophysical Prospecting ◽

10.1111/1365-2478.12146 ◽

2014 ◽

Vol 62 (6) ◽

pp. 1389-1405 ◽

Author(s):

Ali Gholami

Keyword(s):

Compressed Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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Seismic data reconstruction method based compressed sensing theory

10.1190/igcbeijing2016-217 ◽

2016 ◽

Author(s):

Guo Nianmin ◽

Chen Meng ◽

Feng Xuemei ◽

Sun Haijun ◽

Zhao Ruirui

Keyword(s):

Compressed Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

Reconstruction Method ◽

Seismic Data Reconstruction

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Attention and Hybrid Loss Guided Deep Learning for Consecutively Missing Seismic Data Reconstruction

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3068279 ◽

2021 ◽

pp. 1-8

Author(s):

Jiaxu Yu ◽

Bangyu Wu

Keyword(s):

Deep Learning ◽

Seismic Data ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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Tubal-Sampling: Bridging Tensor and Matrix Completion in 3-D Seismic Data Reconstruction

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2995573 ◽

2020 ◽

pp. 1-17

Author(s):

Feng Qian ◽

Cangcang Zhang ◽

Lingtian Feng ◽

Cai Lu ◽

Gulan Zhang ◽

...

Keyword(s):

Seismic Data ◽

Matrix Completion ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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The Discrete Orthonormal S-Transform for Seismic Data Reconstruction Based on Compressive Sensing

10.3997/2214-4609.202010562 ◽

2020 ◽

Author(s):

Z. Zhao

Keyword(s):

Compressive Sensing ◽

Seismic Data ◽

Data Reconstruction ◽

S Transform ◽

Seismic Data Reconstruction

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Multi-scale Multi-directional Prediction-error Filtering for Seismic Data Reconstruction

80th EAGE Conference and Exhibition 2018 ◽

10.3997/2214-4609.201801396 ◽

2018 ◽

Author(s):

C. Li ◽

G. Liu

Keyword(s):

Seismic Data ◽

Prediction Error ◽

Data Reconstruction ◽

Multi Scale ◽

Seismic Data Reconstruction ◽

Error Filtering

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Seismic data reconstruction using a sparsity-promoting apex shifted hyperbolic Radon-curvelet transform

Studia Geophysica et Geodaetica ◽

10.1007/s11200-017-0708-4 ◽

2018 ◽

Vol 62 (3) ◽

pp. 450-465 ◽

Author(s):

Xiangbo Gong ◽

Shengchao Wang ◽

Lizhi Du

Keyword(s):

Seismic Data ◽

Curvelet Transform ◽

Data Reconstruction ◽

Seismic Data Reconstruction

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