Semantic Segmentation of Aerial Imagery Using U-Net with Self-Attention and Separable Convolutions
This research addresses the crucial task of improving accuracy in the semantic segmentation of aerial imagery, essential for applications such as urban planning and environmental monitoring. This study emphasizes the significance of maintaining the Intersection over Union (IOU) score as a metric and...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2024-04-01
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| Schriftenreihe: | Applied Sciences |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/2076-3417/14/9/3712 |
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