Automatic method to predict visual pleasantness and unpleasantness of streetscapes and identify key microscale components for improving pedestrian environments
Despite advances in computer vision-based streetscape evaluation, studies often overlook the influence of diverse microscale components and attributes like materials and combinations. This paper presents an automatic method to predict the visual quality of streetscape images from a pedestrian perspe...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
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| Series: | Developments in the Built Environment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666165925000523 |
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