Cross-streamer wavefield reconstruction through wavelet domain learning

[1]  Jan Kautz,et al.  Loss Functions for Image Restoration With Neural Networks , 2017, IEEE Transactions on Computational Imaging.

[2]  Yu Zhang,et al.  Antileakage Fourier transform for seismic data regularization , 2005 .

[3]  Aaron O'Leary,et al.  PyWavelets: A Python package for wavelet analysis , 2019, J. Open Source Softw..

[4]  Mauricio D. Sacchi,et al.  Fourier Reconstruction of Nonuniformly Sampled, Aliased Seismic Data , 2022 .

[5]  Jon F. Claerbout,et al.  Interpolation with smoothly nonstationary prediction-error filters , 1999 .

[6]  Ebrahim Ghaderpour,et al.  Multichannel antileakage least-squares spectral analysis for seismic data regularization beyond aliasing , 2019, Acta Geophysica.

[7]  Mauricio D. Sacchi,et al.  Minimum weighted norm interpolation of seismic records , 2004 .

[8]  L. Gelius,et al.  Parabolic dictionary learning for seismic wavefield reconstruction across the streamers , 2018, GEOPHYSICS.

[9]  Sergey Fomel,et al.  Seismic reflection data interpolation with differential offset and shot continuation , 2003 .

[10]  R. Abma,et al.  3D interpolation of irregular data with a POCS algorithm , 2006 .

[11]  Milton J. Porsani,et al.  Seismic trace interpolation using half-step prediction filters , 1999 .

[12]  James H. McClellan,et al.  Joint Seismic Data Denoising and Interpolation with Double-Sparsity Dictionary Learning , 2017, 1703.02461.

[13]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[14]  Ali Özbek,et al.  Crossline wavefield reconstruction from multicomponent streamer data: Part 1 — Multichannel interpolation by matching pursuit (MIMAP) using pressure and its crossline gradient , 2010 .

[15]  S. Spitz Seismic trace interpolation in the F-X domain , 1991 .

[16]  Yangkang Chen,et al.  Dealiased Seismic Data Interpolation Using Seislet Transform With Low-Frequency Constraint , 2015, IEEE Geoscience and Remote Sensing Letters.

[17]  Harry Shum,et al.  Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement , 2011, IEEE Transactions on Image Processing.

[18]  Michal Irani,et al.  Improving resolution by image registration , 1991, CVGIP Graph. Model. Image Process..

[19]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[20]  Xiaoou Tang,et al.  Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Ebrahim Ghaderpour,et al.  Antileakage least-squares spectral analysis for seismic data regularization and random noise attenuation , 2018 .

[22]  Yu Zhang,et al.  Antileakage Fourier transform for seismic data regularization in higher dimensions , 2010 .

[23]  Ning Zhang,et al.  Deep-learning-based seismic data interpolation: A preliminary result , 2019, GEOPHYSICS.

[24]  Wei Wang,et al.  Deep Learning for Single Image Super-Resolution: A Brief Review , 2018, IEEE Transactions on Multimedia.

[25]  Sean Crawley Seismic trace interpolation with nonstationary prediction-error filters , 2000 .

[26]  Jianwei Ma,et al.  What can machine learning do for seismic data processing? An interpolation application , 2017 .

[27]  Ali Özbek,et al.  On data-independent multicomponent interpolators and the use of priors for optimal reconstruction and 3D up/down separation of pressure wavefields , 2010 .

[28]  Mauricio D. Sacchi,et al.  On sampling functions and Fourier reconstruction methods , 2010 .

[29]  Ali Özbek,et al.  On the use of multicomponent streamer recordings for reconstruction of pressure wavefields in the crossline direction , 2008 .

[30]  Stéphane Mallat,et al.  Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..

[31]  N. Bleistein,et al.  The link of Kirchhoff migration and demigration to Kirchhoff and Born modeling , 1999 .