FFCA-UNet: Feature Fusion and Cross-Attention Mechanism for Remote Sensing Image Semantic Segmentation
High-resolution remote sensing (RS) image segmentation remains challenging due to large-scale variations, the presence of small and sparsely distributed objects, and the high visual similarity between land-cover categories. In this article, we propose FFCA-UNet, a hybrid convolutional neural network...
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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/11319429/ |
| Etykiety: |
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