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Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images

文献类型：期刊论文

作者Zhang, Liying1,2,3; Pei, Tao3,4,5; Wang, Xi3,4; Wu, Mingbo3,4; Song, Ci3,4; Guo, Sihui3,4; Chen, Yijin1
刊名APPLIED SCIENCES-BASEL
出版日期2020-09-01
卷号10期号:17页码:19
关键词urban perception Chinese traditional-style building street view images view indicator deep learning
DOI10.3390/app10175963
通讯作者Pei, Tao(peit@lreis.ac.cn)
英文摘要As a symbol of Chinese culture, Chinese traditional-style architecture defines the unique characteristics of Chinese cities. The visual qualities and spatial distribution of architecture represent the image of a city, which affects the psychological states of the residents and can induce positive or negative social outcomes. Hence, it is important to study the visual perception of Chinese traditional-style buildings in China. Previous works have been restricted by the lack of data sources and techniques, which were not quantitative and comprehensive. In this paper, we proposed a deep learning model for automatically predicting the presence of Chinese traditional-style buildings and developed two view indicators to quantify the pedestrians' visual perceptions of buildings. Using this model, Chinese traditional-style buildings were automatically segmented in streetscape images within the Fifth Ring Road of Beijing and then the perception of Chinese traditional-style buildings was quantified with two view indictors. This model can also help to automatically predict the perception of Chinese traditional-style buildings for new urban regions in China, and more importantly, the two view indicators provide a new quantitative method for measuring the urban visual perception in street level, which is of great significance for the quantitative research of tourism route and urban planning.
WOS关键词AUDIT ; RELIABILITY ; GREENERY
资助项目National Natural Science Foundation of China[41525004] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41877523] ; State Key Laboratory of Resources and Environmental Information System ; Science Foundation of China University of Petroleum, Beijing[ZX20200100]
WOS研究方向Chemistry ; Engineering ; Materials Science ; Physics
语种英语
WOS记录号WOS:000569742400001
出版者MDPI
资助机构National Natural Science Foundation of China ; State Key Laboratory of Resources and Environmental Information System ; Science Foundation of China University of Petroleum, Beijing
源URL[http://ir.igsnrr.ac.cn/handle/311030/156903]  
专题中国科学院地理科学与资源研究所
通讯作者Pei, Tao
作者单位1.China Univ Min & Technol, Sch Geosci & Surveying Engn, Beijing 100083, Peoples R China
2.China Univ Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Liying,Pei, Tao,Wang, Xi,et al. Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images[J]. APPLIED SCIENCES-BASEL,2020,10(17):19.
APA Zhang, Liying.,Pei, Tao.,Wang, Xi.,Wu, Mingbo.,Song, Ci.,...&Chen, Yijin.(2020).Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images.APPLIED SCIENCES-BASEL,10(17),19.
MLA Zhang, Liying,et al."Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images".APPLIED SCIENCES-BASEL 10.17(2020):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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