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

doi:10.3390/app10175963

	Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images
	Zhang, Liying 1,2,3; Pei, Tao 3,4,5; Wang, Xi 3,4; Wu, Mingbo 3,4; Song, Ci 3,4; Guo, Sihui 3,4; Chen, Yijin 2
刊名	APPLIED SCIENCES-BASEL
	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
DOI	10.3390/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.
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关键词	AUDIT ; RELIABILITY ; GREENERY
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000569742400001
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
内容类型	期刊论文
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 Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China 2.China Univ Min & Technol, Sch Geosci & Surveying Engn, Beijing 100083, 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.