دورية أكاديمية
Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images
العنوان: | Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images |
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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 |
تدمد: | 20763417 |
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DOI: | 10.3390/app10175963 |