Progressive multi-task graph neural network with multi-dimensional spatial feature fusion for building age prediction
Accurate acquisition of building age information is of significant importance for understanding urban conditions. However, existing building age prediction methods face several challenges, including insufficient consideration of multi-dimensional spatial features, imbalanced sample distribution, and...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2026-05-01
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| シリーズ: | International Journal of Applied Earth Observations and Geoinformation |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1569843226002062 |
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