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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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IEEE
2026-01-01
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| Seria: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ieeexplore.ieee.org/document/11370168/ |
| Etykiety: |
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