Journal of Geo-information Science, Volume. 22, Issue 6, 1339(2020)
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Fig. 2. POI, AOI, road and building data of the study area near the South Shawo bridge in Beijing in 2019
Fig. 4. Spatial distribution of three types of POIs in the study area
Fig. 5. Space units formed by dividing the study area with roads and AOIs
Fig. 6. Functional classification results of 5552 buildings in the area near the South Shawo Bridge in Beijing in 2019 and the spatial distribution of three major types of buildings
Fig. 7. Functional classification results of buildings and blocks in the study area using the traditional frequency density ratio method
Fig. 8. Comparison of building functional classification results of some blocks in the study area with Baidu map
Fig. 9. The relationship between POI density and building function recognition rate and classification accuracy
Table 1. Automatic classification error matrix of building functions compared with manual classification results
View tableView in ArticleTable 1. Automatic classification error matrix of building functions compared with manual classification results
自动分类 结果/个 人工判读/个 居住 公共 商业 混合 居住 1283 8 2 8 公共 46 304 6 7 商业 50 12 252 9 混合 37 3 6 167
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Yuanhui CAO, Jiping LIU, Yong WANG, Liangjie WANG, Wenzhou WU, Fenzhen SU.
Paper Information
Received: Oct. 17, 2019
Accepted: --
Published Online: Nov. 12, 2020
The Author Email: LIU Jiping (liujp@casm.ac.cn)
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