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Browse filesadded orginal readmes and licenses
LICENSE
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MIT License
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Copyright (c) 2021 Jintao Li
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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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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