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Seismic data interpolation using deep internal learning

Exploration geophysics, v.51 no.6, 2020년, pp.683 - 697  

Wang, Qin (Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, People’s Republic of China) ,  Shen, Yuantong (School of Mathematics and Physics, China University of Geosciences, Wuhan, People’s Republic of China) ,  Fu, Lihua (School of Mathematics and Physics, China University of Geosciences, Wuhan, People’s Republic of China) ,  Li, Hongwei (School of Mathematics and Physics, China University of Geosciences, Wuhan, People’s Republic of China)

초록이 없습니다.

참고문헌 (33)

  1. Abma, Ray, Claerbout, Jon. Lateral prediction for noise attenuation byt-xandf-xtechniques. Geophysics, vol.60, no.6, 1887-1896.

  2. Abma, Ray, Kabir, Nurul. 3D interpolation of irregular data with a POCS algorithm. Geophysics, vol.71, no.6, E91-E97.

  3. 10.1007/978-3-319-46475-6_25 Dong, C., C.C. Loy, and X. Tang. 2016. Accelerating the super-resolution convolutional neural network. European conference on computer vision , Amsterdam, The Netherlands, 391-407. 

  4. Fomel, Sergey. Seismic reflection data interpolation with differential offset and shot continuation. Geophysics, vol.68, no.2, 733-744.

  5. 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.

  6. 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.

  7. 10.1109/ICCV.2009.5459271 Glasner, D., S. Bagon, and M. Irani. 2009. Super-resolution from a single image. IEEE international conference on computer vision , Kyoto, Japan, 349-56. 

  8. Goldsborough, P. 2016. A tour of TensorFlow . https://arxiv.org/abs/1610.01178 (accessed September 21, 2019). 

  9. Gülünay, Necati. Seismic trace interpolation in the Fourier transform domain. Geophysics, vol.68, no.1, 355-369.

  10. Huang, Weilin, Wu, Ru-Shan, Wang, Runqiu. Damped Dreamlet Representation for Exploration Seismic Data Interpolation and Denoising. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.56, no.6, 3159-3172.

  11. Jia, Yongna, Ma, Jianwei. What can machine learning do for seismic data processing? An interpolation application. Geophysics, vol.82, no.3, V163-V177.

  12. Jia, Yongna, Yu, Siwei, Ma, Jianwei. Intelligent interpolation by Monte Carlo machine learning. Geophysics, vol.83, no.2, V83-V97.

  13. Kingma, D.P., and J.L. Ba. 2015. Adam: A method for stochastic optimization. International conference on learning representations , San Diego, CA, USA, 1-15. 

  14. 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.

  15. Liu, Guochang, Chen, Xiaohong. Seismic data interpolation using frequency‐domain complex nonstationary autoregression. Geophysical prospecting, vol.66, no.3, 478-497.

  16. 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.

  17. Liu, Yang, Fomel, Sergey. Seismic data interpolation beyond aliasing using regularized nonstationary autoregression. Geophysics, vol.76, no.5, V69-V77.

  18. Ma, Jianwei. Three-dimensional irregular seismic data reconstruction via low-rank matrix completion. Geophysics, vol.78, no.5, V181-V192.

  19. Mandelli, S., V. Lipari, P. Bestagini, and S. Tubaro. 2019. Interpolation and denoising of seismic data using convolutional neural networks . https://arxiv.org/abs/1901.07927 (accessed September 21, 2019). 

  20. Naghizadeh, Mostafa, Sacchi, Mauricio D.. Multistep autoregressive reconstruction of seismic records. Geophysics, vol.72, no.6, V111-V118.

  21. Naghizadeh, Mostafa, Sacchi, Mauricio D.. f-x adaptive seismic-trace interpolation. Geophysics, vol.74, no.1, V9-V16.

  22. 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.

  23. Naghizadeh, Mostafa, Sacchi, Mauricio. Multidimensional de-aliased Cadzow reconstruction of seismic records. Geophysics, vol.78, no.1, A1-A5.

  24. 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.

  25. Oropeza, Vicente, Sacchi, Mauricio. Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis. Geophysics, vol.76, no.3, V25-V32.

  26. Porsani, Milton J.. Seismic trace interpolation using half‐step prediction filters. Geophysics, vol.64, no.5, 1461-1467.

  27. Ronen, Joshua. Wave‐equation trace interpolation. Geophysics, vol.52, no.7, 973-984.

  28. Spitz, S.. Seismic trace interpolation in theF-Xdomain. Geophysics, vol.56, no.6, 785-794.

  29. 10.1109/CVPR.2018.00329 Shocher, A., N. Cohen, and M. Irani. 2018. “Zero-shot” super-resolution using deep internal learning. IEEE conference on computer vision and pattern recognition , Salt Lake City, Utah, USA, 3118-26. 

  30. Shahdoosti, Hamid Reza, Rahemi, Zahra. Edge-preserving image denoising using a deep convolutional neural network. Signal processing : the official publication of the European Association for Signal Processing (EURASIP), vol.159, 20-32.

  31. Wang, Benfeng, Zhang, Ning, Lu, Wenkai, Wang, Jialin. Deep-learning-based seismic data interpolation: A preliminary result. Geophysics, vol.84, no.1, V11-V20.

  32. Zhang, Xin, Liu, Qian, Li, Xuemei, Zhou, Yuanfeng, Zhang, Caiming. Non-local feature back-projection for image super-resolution. IET image processing, vol.10, no.5, 398-408.

  33. Shaohuan Zu, Hui Zhou, Yangkang Chen, Xiao Pan, Shuwei Gan, Dong Zhang. Interpolating Big Gaps Using Inversion With Slope Constraint. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.13, no.9, 1369-1373.

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