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NTIS 바로가기Geophysics, v.86 no.6, 2021년, pp.V471 - V488
Wei, Qing (China University of Petroleum-Beijing, CNPC Key Laboratory of Geophysical Prospecting, Beijing 102249, China..) , Li, Xiangyang (China University of Petroleum-Beijing, CNPC Key Laboratory of Geophysical Prospecting, Beijing 102249, China and British Geological Survey, Lyell Centre, Edinburgh EH14 4AP, UK.(corresponding author).) , Song, Mingpeng (Chinese Academy of Sciences, Institute of Geology and Geophysics, Beijing 100029, China..)
During acquisition, due to economic and natural reasons, irregular missing seismic data are always observed. To improve accuracy in subsequent processing, the missing data should be interpolated. A conditional generative adversarial network (cGAN) consisting of two networks, a generator and a discr...
Abma, Ray, Kabir, Nurul. 3D interpolation of irregular data with a POCS algorithm. Geophysics, vol.71, no.6, E91-E97.
Candes, E.J., Romberg, J., Tao, T.. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE transactions on information theory, vol.52, no.2, 489-509.
Chang, Dekuan, Yang, Wuyang, Yong, Xueshan, Zhang, Guangzhi, Wang, Wenlong, Li, Haishan, Wang, Yihui. Seismic Data Interpolation Using Dual-Domain Conditional Generative Adversarial Networks. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.18, no.10, 1856-1860.
Chen, Yangkang, Chen, Keling, Shi, Peidong, Wang, Yanyan. Irregular seismic data reconstruction using a percentile-half-thresholding algorithm. Journal of Geophysics and Engineering, vol.11, no.6, 065001-.
Chen, Yangkang, Zhang, Dong, Jin, Zhaoyu, Chen, Xiaohong, Zu, Shaohuan, Huang, Weilin, Gan, Shuwei. Simultaneous denoising and reconstruction of 5-D seismic data via damped rank-reduction method. Geophysical journal international, vol.206, no.3, 1695-1717.
Donoho, D.L.. Compressed sensing. IEEE transactions on information theory, vol.52, no.4, 1289-1306.
Duijndam, A. J. W., Schonewille, M. A., Hindriks, C. O. H.. Reconstruction of band‐limited signals, irregularly sampled along one spatial direction. Geophysics, vol.64, no.2, 524-538.
Fomel, Sergey. Seismic reflection data interpolation with differential offset and shot continuation. Geophysics, vol.68, no.2, 733-744.
Shuwei Gan, Shoudong Wang, Yangkang Chen, Yizhuo Zhang, Zhaoyu Jin. Dealiased Seismic Data Interpolation Using Seislet Transform With Low-Frequency Constraint. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.12, no.10, 2150-2154.
Jianjun Gao, Jinkun Cheng, Sacchi, Mauricio D.. Five-Dimensional Seismic Reconstruction Using Parallel Square Matrix Factorization. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.55, no.4, 2124-2135.
Gao, Jianjun, Sacchi, Mauricio D., Chen, Xiaohong. A fast reduced-rank interpolation method for prestack seismic volumes that depend on four spatial dimensions. Geophysics, vol.78, no.1, V21-V30.
Gao, Jianjun, Stanton, Aaron, Naghizadeh, Mostafa, Sacchi, Mauricio D., Chen, Xiaohong. Convergence improvement and noise attenuation considerations for beyond alias projection onto convex sets reconstruction. Geophysical prospecting, vol.61, no.1, 138-151.
Goodfellow, I., J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, 2014, Generative adversarial nets: Advances in Neural Information Processing Systems, 2672-2680.
Herrmann, Felix J.. Randomized sampling and sparsity: Getting more information from fewer samples. Geophysics, vol.75, no.6, WB173-WB187.
Herrmann, Felix J., Hennenfent, Gilles. Non-parametric seismic data recovery with curvelet frames. Geophysical journal international, vol.173, no.1, 233-248.
Hinton, G. E., Salakhutdinov, R. R.. Reducing the Dimensionality of Data with Neural Networks. Science, vol.313, no.5786, 504-507.
Ioffe, S., and C. Szegedy, 2015, Batch normalization: Accelerating deep network training by reducing internal covariate shift: Proceedings of the 32nd International Conference on Machine Learning, PMLR, 448-456.
Jia, Yongna, Ma, Jianwei. What can machine learning do for seismic data processing? An interpolation application. Geophysics, vol.82, no.3, V163-V177.
Kabir, M.M. Nurul, Verschuur, D.J.. Restoration of missing offsets by parabolic Radon transform1. Geophysical prospecting, vol.43, no.3, 347-368.
Kingma, D. P., and J. Ba, 2014, Adam: A method for stochastic optimization: arXiv preprint arXiv:1412.6980.
Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.. Gradient-based learning applied to document recognition. Proceedings of the IEEE, vol.86, no.11, 2278-2324.
Li, Chao, Liu, Guochang, Hao, Zhenjiang, Zu, Shaohuan, Mi, Fang, Chen, Xiaohong. Multidimensional Seismic Data Reconstruction Using Frequency-Domain Adaptive Prediction-Error Filter. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.56, no.4, 2328-2336.
Liu, Guochang, Li, Chao, Guo, Zhifeng, Rao, Ying. Irregularly Sampled Seismic Data Reconstruction Using Multiscale Multidirectional Adaptive Prediction-Error Filter. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.57, no.5, 2909-2919.
Liu, Mingliang, Jervis, Michael, Li, Weichang, Nivlet, Philippe. Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks. Geophysics, vol.85, no.4, O47-O58.
Liu, Wei, Cao, Siyuan, Gan, Shuwei, Chen, Yangkang, Zu, Shaohuan, Jin, Zhaoyu. One-Step Slope Estimation for Dealiased Seismic Data Reconstruction via Iterative Seislet Thresholding. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.13, no.10, 1462-1466.
Liu, Yang, Fomel, Sergey. Seismic data interpolation beyond aliasing using regularized nonstationary autoregression. Geophysics, vol.76, no.5, V69-V77.
Lopez, Oscar, Kumar, Rajiv, Yilmaz, Ozgur, Herrmann, Felix J.. Off-the-Grid Low-Rank Matrix Recovery and Seismic Data Reconstruction. IEEE journal of selected topics in signal processing, vol.10, no.4, 658-671.
Lu, Ping, Morris, Matt, Brazell, Seth, Comiskey, Cody, Xiao, Yuan. Using generative adversarial networks to improve deep-learning fault interpretation networks. The leading edge, vol.37, no.8, 578-583.
Mirza, M., and S. Osindero, 2014, Conditional generative adversarial nets: arXiv preprint arXiv:1411.1784.
Naghizadeh, Mostafa, Sacchi, Mauricio D.. f-x adaptive seismic-trace interpolation. Geophysics, vol.74, no.1, V9-V16.
Naghizadeh, Mostafa, Sacchi, Mauricio D.. Beyond alias hierarchical scale curvelet interpolation of regularly and irregularly sampled seismic data. Geophysics, vol.75, no.6, WB189-WB202.
Nash Jr., John F.. Equilibrium points in n -person games. Proceedings of the National Academy of Sciences of the United States of America, vol.36, no.1, 48-49.
Oliveira, Dario A. B., Ferreira, Rodrigo S., Silva, Reinaldo, Brazil, Emilio Vital. Improving Seismic Data Resolution With Deep Generative Networks. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.16, no.12, 1929-1933.
Oliveira, Dario A. B., Ferreira, Rodrigo S., Silva, Reinaldo, Vital Brazil, Emilio. Interpolating Seismic Data With Conditional Generative Adversarial Networks. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.15, no.12, 1952-1956.
Oropeza, Vicente, Sacchi, Mauricio. Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis. Geophysics, vol.76, no.3, V25-V32.
Picetti, Francesco, Lipari, Vincenzo, Bestagini, Paolo, Tubaro, Stefano. Seismic image processing through the generative adversarial network. Interpretation, vol.7, no.3, SF15-SF26.
Reed, S., Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee, 2016, Generative adversarial text to image synthesis: arXiv preprint arXiv:1605.05396.
Ronen, Joshua. Wave‐equation trace interpolation. Geophysics, vol.52, no.7, 973-984.
Salimans, T., I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, X. Chen, X. Chen, 2016, Improved techniques for training GANs: Advances in Neural Information Processing Systems, Curran Associates, Inc. 29, 2234-2242.
Spitz, S.. Seismic trace interpolation in theF-Xdomain. Geophysics, vol.56, no.6, 785-794.
Image recovery: Theory and application Stark H. 1987
Trad, Daniel. Interpolation and multiple attenuation with migration operators. Geophysics, vol.68, no.6, 2043-2054.
Trad, Daniel. Five-dimensional interpolation: Recovering from acquisition constraints. Geophysics, vol.74, no.6, V123-V132.
Trad, Daniel O., Ulrych, Tadeusz J., Sacchi, Mauricio D.. Accurate interpolation with high‐resolution time‐variant Radon transforms. Geophysics, vol.67, no.2, 644-656.
Turquais, Pierre, Asgedom, Endrias G., Söllner, Walter, Gelius, Leiv. Parabolic dictionary learning for seismic wavefield reconstruction across the streamers. Geophysics, vol.83, no.4, V263-V282.
Verschuur, D. J., Berkhout, A. J.. Estimation of multiple scattering by iterative inversion, Part II: Practical aspects and examples. Geophysics, vol.62, no.5, 1596-1611.
Benfeng Wang. An Efficient POCS Interpolation Method in the Frequency-Space Domain. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.13, no.9, 1384-1387.
Wang, Benfeng, Zhang, Ning, Lu, Wenkai, Wang, Jialin. Deep-learning-based seismic data interpolation: A preliminary result. Geophysics, vol.84, no.1, V11-V20.
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