Urban street network morphology classification through street-block based graph neural networks and multi-model fusion
Precise categorization of urban street network patterns is essential for urban planning and morphology analysis. Current classification methods typically rely on a single model type, which causes them to struggle in considering topological, geometric, visual, and global features simultaneously, lead...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Taylor & Francis Group
2025-08-01
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| Серии: | International Journal of Digital Earth |
| Предметы: | |
| Online-ссылка: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2497490 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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