Research graph
References from Seismic data denoising in sparse representation domains with a Swin Transformer-based UNet. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2016 · External reference
Simultaneous Dictionary Learning and Denoising for Seismic Data
10.1190/geo2013-0382.1 · 2014 · External reference
Editorial for Special Issue “Seismic Methods in Mineral Exploration”
10.3390/min9100630 · 2019 · External reference
Vertical seismic profiling using distributed acoustic sensing with scatter-enhanced fibre-optic cable at the Cu–Au new afton porphyry deposit, British Columbia, Canada
10.1111/1365-2478.12828 · 2020 · External reference
SigRecover: Recovering Signal from Noise in Distributed Acoustic Sensing Data Processing
10.1785/0220230370 · 2024 · External reference
EMD-seislet transform
10.1190/geo2017-0554.1 · 2018 · External reference
Unresolved reference
2021 · External reference
Automatic noise attenuation based on clustering and empirical wavelet transform
10.1016/j.jappgeo.2018.09.025 · 2018 · External reference
Crustal-scale seismic investigation in chibougamau, quebec, Canada
2018 · External reference
Unresolved reference
1995 · External reference
Ten lectures on wavelets
1992 · External reference
Supervised swin transformer-based predictive lithological mapping and uncertainty quantification using aeromagnetic and gravity data
2026 · External reference
Seismic signal denoising using Swin-Conv-UNet
10.1016/j.jappgeo.2024.105355 · 2024 · External reference
Ideal spatial adaptation by wavelet shrinkage
10.1093/biomet/81.3.425 · 1994 · External reference
Unresolved reference
2020 · External reference
Deep diffusion models for seismic processing
10.1016/j.cageo.2023.105377 · 2023 · External reference
A self-supervised deep learning approach for blind denoising and waveform coherence enhancement in distributed acoustic sensing data
10.1109/tnnls.2021.3132832 · 2023 · External reference
An overview of depth imaging in exploration geophysics
10.1190/1.3223188 · 2009 · External reference
Denoising deep learning network based on singular spectrum analysis—DAS seismic data denoising with multichannel SVDDCNN
2022 · External reference
Seislet transform and seislet frame
10.1190/1.3380591 · 2010 · External reference
Seismic signal denoising using empirical mode decomposition
2017 · External reference
Swin transformer for simultaneous denoising and interpolation of seismic data
10.1016/j.cageo.2023.105510 · 2024 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
Non-parametric seismic data recovery with curvelet frames
10.1111/j.1365-246x.2007.03698.x · 2008 · External reference
Unresolved reference
2015 · External reference
What can machine learning do for seismic data processing? An interpolation application
10.1190/geo2016-0300.1 · 2017 · External reference
Unresolved reference
2017 · External reference
Robust seismic data denoising via self-supervised deep learning
10.1190/geo2023-0762.1 · 2024 · External reference
Swin transformer: Hierarchical vision transformer using shifted windows
2021 · External reference
Understanding the effective receptive field in deep convolutional neural networks
2016 · External reference
Seismic methods in mineral exploration and mine planning — Introduction
10.1190/2012-0724-spsein.1 · 2012 · External reference
Unresolved reference
2009 · External reference
Filtering non-stationary geophysical data with orthogonal wavelets
10.1029/96gl00155 · 1996 · External reference
Seismic data interpolation and denoising in the frequency-wavenumber domain
10.1190/geo2011-0172.1 · 2012 · External reference
Acquisition and processing of wider bandwidth seismic data in crystalline crust: Progress with the metal earth project
10.3390/min9030145 · 2019 · External reference
SEDENOSS: Separating and denoising seismic signals with dual-path recurrent neural network architecture
2022 · External reference
Seismic denoising using curvelet analysis
10.1016/j.physa.2011.04.009 · 2012 · External reference
Image transformer
2018 · External reference
Unresolved reference
2019 · External reference
Denoising seismic waveforms using a wavelet-transform-based machine-learning method
10.1785/0120230304 · 2024 · External reference
U-Net: Convolutional networks for biomedical image segmentation
2015 · External reference
Noise elimination and the radon transform; part 1
10.1190/1.1439677 · 1990 · External reference
Localization of the complex spectrum: the S transform
10.1109/78.492555 · 1996 · External reference
Adaptive threshold shearlet transform for surface microseismic data denoising
10.1016/j.jappgeo.2018.03.019 · 2018 · External reference
Deep learning denoising applied to regional distance seismic data in utah
10.1785/0120200292 · 2021 · External reference
Cold diffusion model for seismic denoising
2024 · External reference
F-xy Cadzow Noise Suppression
2008 · External reference
Attention is all you need
2017 · External reference
White noise attenuation of seismic trace by integrating variational mode decomposition with convolutional neural network
10.1190/geo2018-0635.1 · 2019 · External reference
A novel seismic random noise suppression method based on wavelet threshold and Lipschitz
10.1016/j.jappgeo.2023.105178 · 2023 · External reference
Seismic data analysis: Processing, inversion, and interpretation of seismic data
2001 · External reference
Unresolved reference
2015 · External reference
Deep learning for geophysics: Current and future trends
10.1029/2021rg000742 · 2021 · External reference
Deep learning for denoising
10.1190/geo2018-0668.1 · 2019 · External reference
A robust method for random noise suppression based on the radon transform
10.1016/j.jappgeo.2020.104183 · 2021 · External reference
Seismic data denoising using deep convolutional neural networks
10.1190/geo2020-0243.1 · 2018 · External reference
Seismic signal denoising and decomposition using deep neural networks
10.1109/tgrs.2019.2926772 · 2019 · External reference
Deep diffusion models for seismic processing
10.1016/j.cageo.2023.105377 · ExternalCitation · doi-reference
Swin transformer for simultaneous denoising and interpolation of seismic data
10.1016/j.cageo.2023.105510 · ExternalCitation · doi-reference
Adaptive threshold shearlet transform for surface microseismic data denoising
10.1016/j.jappgeo.2018.03.019 · ExternalCitation · doi-reference
Automatic noise attenuation based on clustering and empirical wavelet transform
10.1016/j.jappgeo.2018.09.025 · ExternalCitation · doi-reference
A robust method for random noise suppression based on the radon transform
10.1016/j.jappgeo.2020.104183 · ExternalCitation · doi-reference
A novel seismic random noise suppression method based on wavelet threshold and Lipschitz
10.1016/j.jappgeo.2023.105178 · ExternalCitation · doi-reference
Seismic signal denoising using Swin-Conv-UNet
10.1016/j.jappgeo.2024.105355 · ExternalCitation · doi-reference
Seismic denoising using curvelet analysis
10.1016/j.physa.2011.04.009 · ExternalCitation · doi-reference
Deep learning for geophysics: Current and future trends
10.1029/2021rg000742 · ExternalCitation · doi-reference
Filtering non-stationary geophysical data with orthogonal wavelets
10.1029/96gl00155 · ExternalCitation · doi-reference
Ideal spatial adaptation by wavelet shrinkage
10.1093/biomet/81.3.425 · ExternalCitation · doi-reference
Localization of the complex spectrum: the S transform
10.1109/78.492555 · ExternalCitation · doi-reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · ExternalCitation · doi-reference
Seismic signal denoising and decomposition using deep neural networks
10.1109/tgrs.2019.2926772 · ExternalCitation · doi-reference
A self-supervised deep learning approach for blind denoising and waveform coherence enhancement in distributed acoustic sensing data
10.1109/tnnls.2021.3132832 · ExternalCitation · doi-reference
Vertical seismic profiling using distributed acoustic sensing with scatter-enhanced fibre-optic cable at the Cu–Au new afton porphyry deposit, British Columbia, Canada
10.1111/1365-2478.12828 · ExternalCitation · doi-reference
Non-parametric seismic data recovery with curvelet frames
10.1111/j.1365-246x.2007.03698.x · ExternalCitation · doi-reference
Noise elimination and the radon transform; part 1
10.1190/1.1439677 · ExternalCitation · doi-reference
An overview of depth imaging in exploration geophysics
10.1190/1.3223188 · ExternalCitation · doi-reference
Seislet transform and seislet frame
10.1190/1.3380591 · ExternalCitation · doi-reference
Seismic methods in mineral exploration and mine planning — Introduction
10.1190/2012-0724-spsein.1 · ExternalCitation · doi-reference
Seismic data interpolation and denoising in the frequency-wavenumber domain
10.1190/geo2011-0172.1 · ExternalCitation · doi-reference
Simultaneous Dictionary Learning and Denoising for Seismic Data
10.1190/geo2013-0382.1 · ExternalCitation · doi-reference
What can machine learning do for seismic data processing? An interpolation application
10.1190/geo2016-0300.1 · ExternalCitation · doi-reference
EMD-seislet transform
10.1190/geo2017-0554.1 · ExternalCitation · doi-reference
White noise attenuation of seismic trace by integrating variational mode decomposition with convolutional neural network
10.1190/geo2018-0635.1 · ExternalCitation · doi-reference
Deep learning for denoising
10.1190/geo2018-0668.1 · ExternalCitation · doi-reference
Seismic data denoising using deep convolutional neural networks
10.1190/geo2020-0243.1 · ExternalCitation · doi-reference
Robust seismic data denoising via self-supervised deep learning
10.1190/geo2023-0762.1 · ExternalCitation · doi-reference
Deep learning denoising applied to regional distance seismic data in utah
10.1785/0120200292 · ExternalCitation · doi-reference
Denoising seismic waveforms using a wavelet-transform-based machine-learning method
10.1785/0120230304 · ExternalCitation · doi-reference
SigRecover: Recovering Signal from Noise in Distributed Acoustic Sensing Data Processing
10.1785/0220230370 · ExternalCitation · doi-reference
Acquisition and processing of wider bandwidth seismic data in crystalline crust: Progress with the metal earth project
10.3390/min9030145 · ExternalCitation · doi-reference
Editorial for Special Issue “Seismic Methods in Mineral Exploration”
10.3390/min9100630 · ExternalCitation · doi-reference
