A Large-Scale Aerial and Satellite Image Dataset for Deep Learning-Based Image Super-Resolution of Very High-Resolution Remote Sensing Imagery
Recently, deep learning-based image super-resolution (SR) has emerged as an effective and cost-efficient solution for obtaining images that surpass the physical limitation of sensors. However, the training datasets commonly used for SR tasks—particularly in remote sensing—are constrain...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2025-01-01
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| Serier: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/11165097/ |
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