다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Geophysical prospecting, v.69 no.2, 2021년, pp.307 - 326
Kaur, Harpreet (Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78713, USA) , Pham, Nam (Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78713, USA) , Fomel, Sergey (Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78713, USA)
AI-Helper
ABSTRACTWe propose an algorithm for seismic trace interpolation using generative adversarial networks, a type of deep neural network. The method extracts feature vectors from the training data using self‐learning and does not require any pre‐processing to create the training labels. The ...
Abma, Ray, Kabir, Nurul. 3D interpolation of irregular data with a POCS algorithm. Geophysics, vol.71, no.6, E91-E97.
Advances in Neural Information Processing Systems Benaim S. 752 2017
10.3997/2214-4609.201411190 Brougois A. Bourget M. Lailly P. Poulet M. Ricarte P. and Versteeg R. (1990) Marmousi model and data. InEAEG Workshop‐Practical Aspects of Seismic Data Inversion.
Candès, Emmanuel, Demanet, Laurent, Donoho, David, Ying, Lexing. Fast Discrete Curvelet Transforms. Multiscale modeling & simulation, vol.5, no.3, 861-899.
Chen, Yangkang, Bai, Min, Guan, Zhe, Zhang, Qingchen, Zhang, Mi, Wang, Hang. Five-dimensional seismic data reconstruction using the optimally damped rank-reduction method. Geophysical journal international, vol.218, no.1, 224-246.
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.
Image estimation by example: geophysical soundings image construction: multidimensional autoregression Claerbout J. F. 2008
10.1190/1.1820707 Crawley S.(2000)Seismic trace interpolation with nonstationary prediction‐error filters. PhD thesis Stanford University.
10.1190/1.1820707
Creswell, Antonia, White, Tom, Dumoulin, Vincent, Arulkumaran, Kai, Sengupta, Biswa, Bharath, Anil A.. Generative Adversarial Networks: An Overview. IEEE signal processing magazine, vol.35, no.1, 53-65.
Fomel, Sergey. Applications of plane‐wave destruction filters. Geophysics, vol.67, no.6, 1946-1960.
Fomel, Sergey. Seismic reflection data interpolation with differential offset and shot continuation. Geophysics, vol.68, no.2, 733-744.
Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments. Journal of open research software, vol.1, no.1, e8-.
Gao, Jianjun, Stanton, Aaron, Sacchi, Mauricio D.. Parallel matrix factorization algorithm and its application to 5D seismic reconstruction and denoising. Geophysics, vol.80, no.6, V173-V187.
Goodfellow I.(2016)Nips 2016 tutorial: generative adversarial networks.arXiv preprint. arXiv:1701.00160.
Advances in Neural Information Processing Systems Goodfellow I. 2672 2014
Guitton, Antoine, Claerbout, Jon. An algorithm for interpolation in the pyramid domain‡. Geophysical prospecting, vol.58, no.6, 965-976.
Gülünay, Necati. Seismic trace interpolation in the Fourier transform domain. Geophysics, vol.68, no.1, 355-369.
Hennenfent, Gilles, Herrmann, Felix J.. Simply denoise: Wavefield reconstruction via jittered undersampling. Geophysics, vol.73, no.3, V19-V28.
Herrmann F. J. Siahkoohi A.andRizzuti G.(2019)Learned imaging with constraints and uncertainty quantification.arXiv preprint. arXiv:1909.06473.
Hou, Sian, Zhang, Feng, Li, Xiangyang, Zhao, Qiang, Dai, Hengchang. Simultaneous multi-component seismic denoising and reconstruction via K-SVD. Journal of Geophysics and Engineering, vol.15, no.3, 681-695.
Jia, Yongna, Ma, Jianwei. What can machine learning do for seismic data processing? An interpolation application. Geophysics, vol.82, no.3, V163-V177.
10.1190/segam2019-3207296.1
10.1190/segam2019-3207424.1
Kaur, Harpreet, Pham, Nam, Fomel, Sergey. Improving the resolution of migrated images by approximating the inverse Hessian using deep learning. Geophysics, vol.85, no.4, WA173-WA183.
Kim T. Cha M. Kim H. Lee J. K.andKim J.(2017)Learning to discover cross‐domain relations with generative adversarial networks.arXiv preprint. arXiv:1703.05192.
10.1190/segam2019-3215520.1
Lin Z. Khetan A. Fanti G.andOh S.(2017)Pacgan: the power of two samples in generative adversarial networks.arXiv preprint. arXiv:1712.04086.
Liu, Lina, Plonka, Gerlind, Ma, Jianwei. Seismic data interpolation and denoising by learning a tensor tight frame. Inverse problems, vol.33, no.10, 105011-.
Liu, Yang, Fomel, Sergey. Seismic data interpolation beyond aliasing using regularized nonstationary autoregression. Geophysics, vol.76, no.5, V69-V77.
10.1016/B978-0-12-811318-9.00021-1
Mandelli S. Lipari V. Bestagini P. and Tubaro S. (2019) Interpolation and denoising of seismic data using convolutional neural networks.arXiv preprint. arXiv:1901.07927.
Mosser, Lukas, Dubrule, Olivier, Blunt, Martin J.. Stochastic Seismic Waveform Inversion Using Generative Adversarial Networks as a Geological Prior. Mathematical geosciences, vol.52, no.1, 53-79.
Naghizadeh, Mostafa. Seismic data interpolation and denoising in the frequency-wavenumber domain. Geophysics, vol.77, no.2, V71-V80.
Naghizadeh, Mostafa, Sacchi, Mauricio D.. Multistep autoregressive reconstruction of seismic records. Geophysics, vol.72, no.6, V111-V118.
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.
IEEE Geoscience and Remote Sensing Letters Oliveira D. A. 1 99 2018 Interpolating seismic data with conditional generative adversarial networks
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.
Paszke A. Gross S. Chintala S. Chanan G. Yang E. DeVito Z. Lin Z. Desmaison A. Antiga L.andLerer A.(2017)Automatic differentiation in PyTorch. In 31st Conference on Neural Information Processing Systems (NIPS 2017) Long Beach CA.
10.1190/segam2018-2995439.1
Poggio, Tomaso, Mhaskar, Hrushikesh, Rosasco, Lorenzo, Miranda, Brando, Liao, Qianli. Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review. International journal of automation and computing, vol.14, no.5, 503-519.
Porsani, Milton J.. Seismic trace interpolation using half‐step prediction filters. Geophysics, vol.64, no.5, 1461-1467.
Richardson A.(2018)Generative adversarial networks for model order reduction in seismic full‐waveform inversion.arXiv preprint. arXiv:1806.00828.
Ronen, Joshua. Wave‐equation trace interpolation. Geophysics, vol.52, no.7, 973-984.
Sacchi, Mauricio D., Ulrych, Tadeusz J.. Estimation of the discrete Fourier transform, a linear inversion approach. Geophysics, vol.61, no.4, 1128-1136.
Sacchi, M.D., Ulrych, T.J., Walker, C.J.. Interpolation and extrapolation using a high-resolution discrete Fourier transform. IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, vol.46, no.1, 31-38.
Safran I.andShamir O.(2016)Depth separation in RELU networks for approximating smooth non‐linear functions.arXiv preprint. arXiv:1610.09887 14pp.
10.3997/2214-4609.201801393
Siahkoohi, Ali, Louboutin, Mathias, Herrmann, Felix J.. The importance of transfer learning in seismic modeling and imaging. Geophysics, vol.84, no.6, A47-A52.
Spitz, S.. Seismic trace interpolation in theF-Xdomain. Geophysics, vol.56, no.6, 785-794.
Stolt, Robert H.. Seismic data mapping and reconstruction. Geophysics, vol.67, no.3, 890-908.
Telgarsky M.(2015)Representation benefits of deep feedforward networks.arXiv preprint. arXiv:1509.08101.
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.
Vidal R. Bruna J. Giryes R.andSoatto S.(2017)Mathematics of deep learning.arXiv preprint. arXiv:1712.04741.
10.1109/ICCV.2017.310
Yu, Siwei, Ma, Jianwei, Zhang, Xiaoqun, Sacchi, Mauricio D.. Interpolation and denoising of high-dimensional seismic data by learning a tight frame. Geophysics, vol.80, no.5, V119-V132.
10.1109/ICCV.2017.244
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.