EESAGAN: Edge-Enhanced and Structure-Aware GAN for Remote Sensing Image Super-Resolution
Remote sensing (RS) images often suffer from spatial resolution degradation and edge blurring due to sensor limitations and complex degradation factors such as atmospheric turbulence and motion. These issues negatively impact subsequent tasks like classification and detection. Most existing super-re...
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| Principais autores: | , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
IEEE
2025-01-01
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| 叢編: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/11165376/ |
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