A Fast Hyperbolic Radon Transform Algorithm Using Deep Neural Network

References

1. Blackman, R. B.
   , and J. W. Tukey, 1958, The measurement of power spectra: Dover Publications Inc.
   [Google Scholar]
2. Creswell, A., T.White, V.Dumoulin, K.Arulkumaran, B.Sengupta, and A. A.Bharath
   , 2018, Generative adversarial networks: An overview: IEEE Signal Processing Magazine, 35, 53–65.
   [Google Scholar]
3. Fomel, S., P.Sava, I.Vlad, Y.Liu, and V.Bashkardin
   , 2013, Madagascar: Open-source software project for multidimensional data analysis and reproducible computational experiments: Journal of Open Research Software, 1.
   [Google Scholar]
4. Guitton, A.
   , 2004, Amplitude and Kinematic Corrections of Migrated Images for Nonunitary Imaging Operators: Geophysics, 69, 1017–1024.
   [Google Scholar]
5. Hu, J., S.Fomel, L.Demanet, and L.Ying
   , 2013, A Fast Butterfly Algorithm for Generalized Radon Transforms: Geophysics, 78, U41–U51.
   [Google Scholar]
6. Larner
   , K., 1979, Optimum-weight cdp stacking: Western Geco-physical Co.,unpublished notes.
   [Google Scholar]
7. Oliveira, D. A., R. S.Ferreira, R.Silva, and E. V.Brazil
   , 2018, Interpolating seismic data with conditional generative adversarial networks: IEEE Geoscience and Remote Sensing Letters, 1–5.
   [Google Scholar]
8. Paszke, A., S.Gross, S.Chintala, G.Chanan, E.Yang, Z.DeVito, Z.Lin, A.Desmaison, L.Antiga
   , and A. Lerer, 2017, Automatic differentiation in pytorch: Presented at the NIPS-W.
   [Google Scholar]
9. Thorson, J. R., and J. F.Claerbout
   , 1985, Velocity-Stack and Slant-Stack Stochastic Inversion: Geophysics, 50, 2727–2741.
   [Google Scholar]
10. Zhu, J.-Y., T.Park, P.Isola, and A. A.Efros
    , 2017, Unpaired image-to-image translation using cycle-consistent adversarial networks: arXiv preprint.