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-...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2026-01-01
|
| シリーズ: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/11498687/ |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|