Multiattention network with HFA-UNet for remote sensing semantic segmentation of Wular Lake in India
Abstract Semantic segmentation is crucial to remote sensing imaging (RSI) analysis of varied landscapes and objects. The Hybrid Feature Adaptive UNet (HFA-UNet) improves RSI semantic segmentation by combining spatial and channel attention modules into a convolutional network. This work intends to im...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-01-01
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| Col·lecció: | Discover Computing |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s10791-025-09892-9 |
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