Datasets:
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readme
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sx/:
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synthetic data, high resolution without noise, size = (256, 256)
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nx2/:
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synthetic data, low resolution data with some random noise, size = (128, 128)
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field/:
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three field seismic data, the size is avaliable from their name,
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such as "lulia_592x400.dat", its size is (592, 400).
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Citation
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If you find this work useful in your research, please consider citing:
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@ARTICLE{deep2021li,
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author={Li, Jintao and Wu, Xinming and Hu, Zhanxuan},
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journal={IEEE Transactions on Geoscience and Remote Sensing},
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title={Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising},
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year={2021},
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volume={},
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number={},
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pages={1-11},
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doi={10.1109/TGRS.2021.3057857}
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}
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sx/:
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synthetic data, high resolution without noise, size = (256, 256)
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| 3 |
+
nx2/:
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+
synthetic data, low resolution data with some random noise, size = (128, 128)
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field/:
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three field seismic data, the size is avaliable from their name,
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such as "lulia_592x400.dat", its size is (592, 400).
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+
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+
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+
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Citation
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If you find this work useful in your research, please consider citing:
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+
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@ARTICLE{deep2021li,
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author={Li, Jintao and Wu, Xinming and Hu, Zhanxuan},
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journal={IEEE Transactions on Geoscience and Remote Sensing},
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title={Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising},
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year={2021},
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volume={},
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number={},
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pages={1-11},
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doi={10.1109/TGRS.2021.3057857}
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}
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Additional information can be found at https://github.com/LukasMosser/seismic-datasets
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