Enhancing Monocular Building Height Estimation via Weak Supervision From Imperfect Labels
Monocular height estimation is among the most efficient and cost-effective approaches for 3-D perception in remote sensing, and it has gained significant attention with the advent of deep learning. However, training neural networks for this task requires a large volume of annotated data, while high-...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2026-01-01
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| Serier: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/11498687/ |
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