최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Computers & geosciences, v.154, 2021년, pp.104801 -
Wei, Qing (CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum-Beijing) , Li, Xiangyang (CNPC Key Laboratory of Geophysical Prospecting, China University of Petroleum-Beijing) , Song, Mingpeng (Institute of Geology and Geophysics, Chinese Academy of Sciences)
Abstract When sampling at offset is too coarse during seismic acquisition, spatial aliasing will appear, affecting the accuracy of subsequent processing. The receiver spacing can be reduced by interpolating one or more traces between every two traces to remove the spatial aliasing. And the seismic ...
Alwon 1991 2018 SEG Technical Program Expanded Abstracts 2018 Generative adversarial networks in seismic data processing
Comput. Geosci. Anderson 145 104593 2020 10.1016/j.cageo.2020.104593 Multimodal imaging and machine learning to enhance microscope images of shale
Arjovsky 2017 Wasserstein gan. arXiv:1701.07875
Comput. Geosci. Avalos 141 104522 2020 10.1016/j.cageo.2020.104522 Recursive convolutional neural networks in a multiple-point statistics framework
Comput. Geosci. Bai 142 104519 2020 10.1016/j.cageo.2020.104519 Hybrid geological modeling: combining machine learning and multiple-point statistics
Comput. Geosci. Canchumuni 128 87 2019 10.1016/j.cageo.2019.04.006 Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother
IEEE Trans. Inf. Theor. Candes 52 489 2006 10.1109/TIT.2005.862083 Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Geosci. Rem. Sens. Lett. IEEE Chang 1 2020 Seismic data interpolation using dual-domain conditional generative adversarial networks
Chang 2589 2019 Seismic Data Interpolation with Conditional Generative Adversarial Network in Time and Frequency Domain
IEEE Trans. Inf. Theor. Donoho 52 1289 2006 10.1109/TIT.2006.871582 Compressed sensing
Geophysics Duijndam 64 524 1999 10.1190/1.1444559 Reconstruction of band-limited signals, irregularly sampled along one spatial direction
Ebenezer 1 2019 2019 27th European Signal Processing Conference (EUSIPCO) Single image haze removal using conditional wasserstein generative adversarial networks
Geophysics Fomel 68 733 2003 10.1190/1.1567243 Seismic reflection data interpolation with differential offset and shot continuation
Comput. Geosci. Freeman 139 104479 2020 10.1016/j.cageo.2020.104479 Content search within large environmental datasets using a convolution neural network
J. Appl. Geophys. Gan 130 194 2016 10.1016/j.jappgeo.2016.03.033 Compressive sensing for seismic data reconstruction via fast projection onto convex sets based on seislet transform
Geosci. Rem. Sens. Lett. IEEE Gan 12 2150 2015 10.1109/LGRS.2015.2453119 Dealiased seismic data interpolation using seislet transform with low-frequency constraint
Geophys. Prospect. Gao 61 138 2013 10.1111/j.1365-2478.2012.01103.x Convergence improvement and noise attenuation considerations for beyond alias projection onto convex sets reconstruction
Goodfellow 2672 2014 Advances in Neural Information Processing Systems Generative adversarial nets
Geophysics Gray 78 S157 2013 10.1190/geo2012-0451.1 Spatial sampling, migration aliasing, and migrated amplitudes
Comput. Geosci. Han 133 104312 2019 10.1016/j.cageo.2019.104312 Measuring rock surface strength based on spectrograms with deep convolutional networks
He 2016 The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Deep residual learning for image recognition
Geophysics Herrmann 75 WB173 2010 10.1190/1.3506147 Randomized sampling and sparsity: getting more information from fewer samples
Geophys. J. Int. Herrmann 173 233 2008 10.1111/j.1365-246X.2007.03698.x Non-parametric seismic data recovery with curvelet frames
Science Hinton 313 504 2006 10.1126/science.1127647 Reducing the dimensionality of data with neural networks
Ioffe 2015 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Isola 2017 The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Image-to-image translation with conditional adversarial networks
Geophysics Jia 82 V163 2017 10.1190/geo2016-0300.1 What can machine learning do for seismic data processing? an interpolation application
J. Appl. Geophys. Jia 132 137 2016 10.1016/j.jappgeo.2016.06.010 A fast rank-reduction algorithm for three-dimensional seismic data interpolation
Geophys. Prospect. Kabir 43 347 2006 10.1111/j.1365-2478.1995.tb00257.x Restoration of missing offsets by parabolic radon transformation
Kaur 2202 2019 SEG Technical Program Expanded Abstracts 2019 Seismic data interpolation using cyclegan
Comput. Geosci. Laloy 133 104333 2019 10.1016/j.cageo.2019.104333 Gradient-based deterministic inversion of geophysical data with generative adversarial networks: is it feasible?
Proc. IEEE Lecun 86 2278 1998 10.1109/5.726791 Gradient-based learning applied to document recognition
Ledig 2017 The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Photo-realistic single image super-resolution using a generative adversarial network
Geophysics Liu 76 V69 2011 10.1190/geo2010-0231.1 Seismic data interpolation beyond aliasing using regularized nonstationary autoregression
Neurocomputing Liu 311 78 2018 10.1016/j.neucom.2018.05.045 Auto-painter: cartoon image generation from sketch by using conditional wasserstein generative adversarial networks
Lead. Edge Lu 37 578 2018 10.1190/tle37080578.1 Using generative adversarial networks to improve deep-learning fault interpretation networks
Luo 2016 SPE Bergen One Day Seminar An ensemble 4d seismic history matching framework with sparse representation based on wavelet multiresolution analysis
Geophysics Ma 78 V181 2013 10.1190/geo2012-0465.1 Three-dimensional irregular seismic data reconstruction via low-rank matrix completion
Maas 3 2013 Proc. icml Rectifier nonlinearities improve neural network acoustic models
Mirza 1784 2014 Conditional Generative Adversarial Nets
Mosser 2018 80th EAGE Conference and Exhibition 2018 Rapid seismic domain transfer: seismic velocity inversion and modeling using deep generative neural networks
Geophysics Naghizadeh 74 V9 2009 10.1190/1.3008547 f-x adaptive seismic-trace interpolation
Geophysics Naghizadeh 75 WB189 2010 10.1190/1.3509468 Beyond alias hierarchical scale curvelet interpolation of regularly and irregularly sampled seismic data
Geosci. Rem. Sens. Lett. IEEE Oliveira 1 2019 Improving seismic data resolution with deep generative networks
Geosci. Rem. Sens. Lett. IEEE Oliveira 15 1952 2018 10.1109/LGRS.2018.2866199 Interpolating seismic data with conditional generative adversarial networks
Comput. Geosci. Pan 145 104609 2020 10.1016/j.cageo.2020.104609 A partial convolution-based deep-learning network for seismic data regularization 1
Interpretation Picetti 7 SF15 2019 10.1190/INT-2018-0232.1 Seismic image processing through the generative adversarial network
Reed 2016 Generative Adversarial Text to Image Synthesis. arXiv Preprint arXiv:1605.05396
Geophysics Ronen 52 973 1987 10.1190/1.1442366 Wave-equation trace interpolation
Ronneberger 234 2015 Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 U-net: convolutional networks for biomedical image segmentation
Salimans 2234 2016 Advances in Neural Information Processing Systems 29 Improved techniques for training gans
J. Petrol. Sci. Eng. Soares 195 107763 2020 10.1016/j.petrol.2020.107763 4d seismic history matching: assessing the use of a dictionary learning based sparse representation method
Geophysics Spitz 56 785 1991 10.1190/1.1443096 Seismic trace interpolation in the F-X domain
Geophysics Trad 68 2043 2003 10.1190/1.1635058 Interpolation and multiple attenuation with migration operators
Geophysics Trad 74 V123 2009 10.1190/1.3245216 Five-dimensional interpolation: recovering from acquisition constraints
Geophysics Trad 67 644 2002 10.1190/1.1468626 Accurate interpolation with high-resolution time-variant radon transforms
Trickett 2010 Seg Technical Program Expanded Rank-reduction-based trace interpolation
Geophysics Wang 84 V11 2019 10.1190/geo2017-0495.1 Deep-learning-based seismic data interpolation: a preliminary result
Comput. Geosci. Wang 36 1292 2010 10.1016/j.cageo.2010.03.012 Accelerating pocs interpolation of 3d irregular seismic data with graphics processing units
Comput. Geosci. Wang 133 104314 2019 10.1016/j.cageo.2019.104314 Ct-image of rock samples super resolution using 3d convolutional neural network
Geophysics Zhang 85 WA115 2020 10.1190/geo2019-0243.1 Can learning from natural image denoising be used for seismic data interpolation?
Zhu 2017 Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks. CoRR abs/1703.10593
Zhu 597 2016 European Conference on Computer Vision Generative visual manipulation on the natural image manifold
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.