Intelligent Mining of Urban Ventilation Corridors Based on High-Precision Oblique Photographic Images

被引:6
作者
Chen, Chaoxiang [1 ,2 ]
Ye, Shiping [1 ,2 ]
Bai, Zhican [1 ,2 ]
Wang, Juan [1 ,2 ]
Zhang, Zongbiao [1 ,2 ]
Ablameyko, Sergey [2 ,3 ,4 ]
机构
[1] Zhejiang Shuren Univ, Sch Informat Sci & Technol, Hangzhou 310000, Peoples R China
[2] Int Sci & Technol Cooperat Base Zhejiang Prov Rem, Hangzhou 310000, Peoples R China
[3] Belarusian State Univ, Fac Appl Math & Comp Sci, Minsk 220004, BELARUS
[4] Natl Acad Sci, United Inst Informat Problems, Minsk 220004, BELARUS
关键词
urban ventilation corridors; intelligent mining; template matching; high-precision oblique photographic image; WIND CORRIDOR;
D O I
10.3390/s21227537
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
With the advancement of urbanization and the impact of industrial pollution, the issue of urban ventilation has attracted increasing attention. Research on urban ventilation corridors is a hotspot in the field of urban planning. Traditional studies on ventilation corridors mostly focus on qualitative or simulated research on urban climate issues such as the intensified urban heat island effect, serious environmental pollution, and insufficient climate adaptability. Based on the high-precision urban remote sensing image data obtained by aeromagnetic oblique photography, this paper calculates the frontal area density of the city with reference to the urban wind statistics. Based on the existing urban patterns, template matching technology was used to automatically excavate urban ventilation corridors, which provides scientific and reasonable algorithmic support for the rapid construction of potential urban ventilation corridor paths. It also provides technical methods and decision basis for low-carbon urban planning, ecological planning and microclimate optimization design. This method was proved to be effective through experiments in Deqing city, Zhejiang Province, China.
引用
收藏
页数:18
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