Predicting Perceived Restorativeness of Urban Streetscapes Using Semantic Segmentation and Machine Learning: A Case Study of Liwan District, Guangzhou.
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| Title: | Predicting Perceived Restorativeness of Urban Streetscapes Using Semantic Segmentation and Machine Learning: A Case Study of Liwan District, Guangzhou. |
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| Authors: | Kang, Wenjuan1, Kang, Ni1, Wang, Pohsun1, phwang@cityu.edu.mo |
| Source: | Buildings (2075-5309); Oct2025, Vol. 15 Issue 20, p3671, 28p |
| Database: | Applied Science & Technology Source |
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| ISSN: | 20755309 |
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| DOI: | 10.3390/buildings15203671 |
