Enhancing the Recognition of Collinear Building Patterns by Shape Cognition Based on Graph Neural Networks
Building patterns are important components of urban structures and functions, and their accurate recognition is the foundation of urban spatial analysis, cartographic generalization, and other tasks. Current building pattern recognition methods are often based on a shape index that can only characte...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Acceso en liña: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2439611 |
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