Harmonizing street-view semantics and spatial predictors for dominant urban visual composition modelling
Abstract Street-level visual experiences are underrepresented in top-down spatial datasets such as remote sensing and spatial footprints, which predominantly capture configurations from an overhead perspective. This study develops a framework to model and map urban visual dominance, defined through...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2025-10-01
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| Серія: | Computational Urban Science |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s43762-025-00210-z |
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