基于百度地图街景图片分析道路绿视率——以长春市为例
引用文献：
段利鹏 王跃 李一波. 基于百度地图街景图片分析道路绿视率——以长春市为例[J]. 城市住宅，2020，50（11）：65-68.
. Analysis of Road Green Viewing Rate Based on Baidu Map Street View Pictures——Taking Changchun as an Example[J]. build，2020,50（11）：65-68.
摘要：以我国森林和园林城市长春为例，选用2016年百度地图街景图片，通过机器学习框架TensorFlow建立深度学习模型DeepLab，使用CS数据集进行样本训练，分析长春市主城区全部道路128028个采样点绿视率。结果显示长春市道路平均绿视率为19.88%，优于全球主要城市的平均水平，但仍处于一定绿化阶段；在空间上，绿视率整体呈现中心低、外围高的模式，部分街道绿视率持续性差；平均绿视率为次干路>支路>主干路>高速公路>快速路，高架桥是今后道路绿视率设计的关注重点。
关键词：城市景观城市绿化绿化率绿视率百度地图街景
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Analysis of Road Green Viewing Rate Based on Baidu Map Street View Pictures——Taking Changchun as an Example
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