UGD-DLinkNet: An Enhanced Network for Occluded Road Extraction Using Attention Mechanisms and Uncertainty Estimation
Road information extracted from high-resolution remote sensing images is crucial for urban planning and traffic navigation. However, challenges such as complex and variable geometric and contextual features of roads, occlusion by trees and buildings, and labeling errors in datasets present significa...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11154012/ |
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