Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution
Real-world degradations deviate from ideal degradations, as most deep learning-based scenarios involve the ideal synthesis of low-resolution (LR) counterpart images by popularly used bicubic interpolation. Moreover, supervised learning approaches rely on many high-resolution (HR) and LR image pairin...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IEEE
2023-01-01
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| Serija: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Teme: | |
| Online dostop: | https://ieeexplore.ieee.org/document/10025676/ |
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