摘要
本文以广州市越秀区为例,基于开放街景数据作为输入数据源,采用深度学习技术实现对绿植的图像识别,提出一种自动测度城市道路的绿化情况分布的方法框架,在此基础上对行政区和城市功能区两种尺度分析广州市越秀区的绿化环境现状。
In this paper,Yuexiu District of Guangzhou City is taken as an example,the open streetscape data are used as the input data source,and the deep learning technology is used to realize the image recognition of green plants.A method framework for automatically measuring the greening distribution of urban roads is proposed.On this basis,the greening environment status of Yuexiu District of Guangzhou City is analyzed on two scales of administrative area and urban functional area.
作者
谢润桦
XIE Run-hua(GZPI,Guangzhou 510060,China)
出处
《价值工程》
2021年第15期225-226,共2页
Value Engineering
关键词
绿视率
街景
城市绿化
功能区
道路环境品质
green view rate
street view
urban greening
functional area
road environment quality
