دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images
المؤلفون: Liying Zhang, Tao Pei, Xi Wang, Mingbo Wu, Ci Song, Sihui Guo, Yijin Chen
المصدر: Applied Sciences, Vol 10, Iss 17, p 5963 (2020)
بيانات النشر: MDPI AG, 2020.
سنة النشر: 2020
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: urban perception, Chinese traditional-style building, street view images, view indicator, deep learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/10/17/5963; https://doaj.org/toc/2076-3417
DOI: 10.3390/app10175963
URL الوصول: https://doaj.org/article/bc3a66f9a1504415b4bda24637c10060
رقم الأكسشن: edsdoj.bc3a66f9a1504415b4bda24637c10060
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app10175963