Abstract
Xuechun Wang, Lifang Qiao
Abstract
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Themes and trends in visual assessment research: introduction to the landscape and urban planning special collection on the visual assessment of landscapes
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Tracking restoration in natural and urban field settings
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10.3390/ijgi11050282 · 2022
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10.1016/j.compenvurbsys.2019.101386 · 2019
Factors influencing visual landscape quality perceived by the public: results from a national survey
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10.1016/j.ufug.2021.126995
Sky view factor estimation from street view images based on semantic segmentation
10.1016/j.uclim.2021.100999
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10.1016/j.ecolind.2023.110756 · 2023
A study on visual impact assessment of the enclosing wall entourage of Chinese traditional private garden
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The visual quality of streets: a human-centred continuous measurement based on machine learning algorithms and street view images
10.1177/2399808319828734 · 2019
Urban visual intelligence: studying cities with artificial intelligence and street-level imagery
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Measuring urban green space exposure based on street view images and machine learning
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Visual perception differences and spatiotemporal analysis in commercialized historic streets based on mobile eye tracking: a case study in Nanchang Wanshou palace, China
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Landscape perception: research, application and theory
10.1016/0304-3924(82)90009-0 · 1982
No additional external references are available.