Journal of Geo-information Science, Volume. 22, Issue 6, 1330(2020)

Street Space Quality Evaluation in Yuexiu District of Guangzhou City based on Multi-feature Fusion of Street View Imagery

Cheng CUI1,1,2,2, Hongyan REN1,1、*, Lu ZHAO1,1,2,2, and Dafang ZHUANG1,1
Author Affiliations
  • 1. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
  • 1State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 2. 中国科学院大学资源与环境学院,北京 100190
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
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    Figures & Tables(5)
    Sample of SVIs with high/low street space quality from 4 orientations
    Technical flow chart of street space quality evaluation
    Street space quality in Yuexiu District
    • Table 1. Required parameters for Baidu map street view imagery

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      Table 1. Required parameters for Baidu map street view imagery

      参数名描述取值
      ak开发者密钥,通过申请获取32位字符
      width图片宽度,单位为像素,范围[10,1024]1024
      height图片高度,单位为像素,范围[10,512]512
      location街景采样点的位置采样点经纬度坐标
      coordtype街景采样点的坐标类型wgs84ll
      heading朝向角,表示与正北方向夹角,范围[0,360]平行/垂直于道路方向
      pitch俯仰角,街景相机低头的角度,范围[0,90]0
      fov视场角,范围[10,360]90
    • Table 2. Model classification accuracy and Kappa coefficient

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      Table 2. Model classification accuracy and Kappa coefficient

      各视角模型的分类精度/Kappa系数
      SVM算法RF算法
      前向街景后向街景左向街景右向街景前向街景后向街景左向街景右向街景
      SURF特征50.0%/0.0060.0%/0.2360.9%/0.2253.1%/0.0846.9%/-0.0771.7%/0.4360.9%/0.2356.3%/0.13
      HOG特征76.6%/0.5373.3%/0.4670.3%/0.4071.9%/0.4479.7%/0.5970.0%/0.3973.4%/0.4770.3%/0.41
      语义特征75.0%/0.5175.0%/0.5170.3%/0.4268.8%/0.3881.3%/0.6281.7%/0.6371.9%/0.4465.6%/0.32
      SURF特征+HOG特征68.8%/0.3775.0%/0.5073.4%/0.4767.2%/0.3576.6%/0.5375.0%/0.5068.8%/0.3862.5%/0.25
      SURF特征+语义特征81.3%/0.6368.3%/0.3770.3%/0.4170.3%/0.4182.8%/0.6583.8%/0.6773.4%/0.4757.8%/0.15
      HOG特征+语义特征82.8%/0.6681.7%/0.6376.6%/0.5471.9%/0.4482.8%/0.6685.0%/0.7078.1%/0.5767.2%/0.35
      SURF特征+HOG特征+语义特征82.8%/0.6678.3%/0.5776.6%/0.5476.6%/0.5382.8%/0.6581.7%/0.6378.1%/0.5762.5%/0.25
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    Cheng CUI, Hongyan REN, Lu ZHAO, Dafang ZHUANG. Street Space Quality Evaluation in Yuexiu District of Guangzhou City based on Multi-feature Fusion of Street View Imagery[J]. Journal of Geo-information Science, 2020, 22(6): 1330

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    Paper Information

    Received: Feb. 11, 2020

    Accepted: --

    Published Online: Nov. 12, 2020

    The Author Email: Hongyan REN (renhy@lreis.ac.cn)

    DOI:10.12082/dqxxkx.2020.200072

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