Relative performance of super-resolved Sentinel-2 and Copernicus VHR images in mapping built-up areas and building footprints using deep learning
Studies have demonstrated that impressive super-resolution results can be achieved on spaceborne optical images, such as Sentinel-2, using variants of the Generative Adversarial Networks (GAN) among others. However, the practical performance of these super-resolved images in various applications, co...
Збережено в:
| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Taylor & Francis Group
2025-12-01
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| Серія: | European Journal of Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://www.tandfonline.com/doi/10.1080/22797254.2025.2517381 |
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