Super-Resolution of Remote Sensing Images via the Parallel Lattice Attention Network
Deep learning-based super-resolution models often struggle to balance capturing long-range dependencies with computational efficiency, as convolutional neural networks focus on local features while transformers incur high computational costs. To address this tradeoff, we propose a parallel lattice a...
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| Главные авторы: | , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2026-01-01
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| Серии: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/11370168/ |
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