• Journal of Geo-information Science
  • Vol. 22, Issue 6, 1339 (2020)
Yuanhui CAO1、1, Jiping LIU1、1、2、2、*, Yong WANG1、1, Liangjie WANG3、3, Wenzhou WU4、4, and Fenzhen SU4、4
Author Affiliations
  • 1. 中国测绘科学研究院,北京 100830
  • 1Chinese Academy of Surveying and Mapping, Beijing 100830, China
  • 2. 河南省科学院地理研究所,郑州 450052
  • 2Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China
  • 3. 清华大学环境学院,北京 100084
  • 3School of Environment, Tsinghua University, Beijing 100084, China
  • 4. 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
  • 4State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • show less
    DOI: 10.12082/dqxxkx.2020.190608 Cite this Article
    Yuanhui CAO, Jiping LIU, Yong WANG, Liangjie WANG, Wenzhou WU, Fenzhen SU. A Study on the Method for Functional Classification of Urban Buildings by Using POI Data[J]. Journal of Geo-information Science, 2020, 22(6): 1339 Copy Citation Text show less
    References

    [1] Automatic identification of building types based on topographic databases: A comparison of different data sources[J]. International Journal of Cartography, 1, 18-31(2015).

    [2] 叶娟娟, 杨昕, 熊礼阳, 等. 南京市老城区城市建筑点格局研究[J]. 地球信息科学学报, 2015,17(11):1404-1411. [ Ye JJ, YangX, Xiong LY, et al. Point pattern analysis of urban buildings in Nanjing old town[J]. Journal of Geo-information Science, 2015,17(11):1404-1411. ] [ Ye J J, Yang X, Xiong L Y, et al. Point pattern analysis of urban buildings in Nanjing old town[J]. Journal of Geo-information Science, 2015,17(11):1404-1411. ]

    [3] Assessment of urban energy performance through integration of BIM and GIS for smart city planning[J]. Procedia Engineering, 180, 1462-1472(2017).

    [4] et alOpen data for global multimodal land use classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 1363-1377(2018).

    [5] Semantic enrichment of building data with volunteered geographic information to improve mappings of dwelling units and population[J]. Computers, Environment and Urban Systems, 53, 4-18(2015).

    [6] Modelling a whole building stock: domestic, non-domestic and mixed use[J]. Building Research & Information, 47, 156-172(2019).

    [7] City GML-Interoperable semantic 3D city models[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 71, 12-33(2012).

    [8] et alUrban land use extraction from very high resolution remote sensing imagery using a Bayesian network[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 122, 192-205(2016).

    [9] An automatic building extraction and regularisation technique using lidar point cloud data and orthoimage[J]. Remote Sensing, 8, 258(2016).

    [10] et alAutomatic classification of building types in 3D city models[J]. GeoInformatica, 16, 281-306(2012).

    [11] et alA novel building type classification scheme based on integrated LiDAR and high-resolution images[J]. Remote Sensing, 9, 679(2017).

    [12] [online]. From buildings to cities: techniques for the multi-scale analysis of urban form and function(2010). https://discovery.ucl.ac.uk/id/eprint/20360/

    [13] 曲畅, 任玉环, 刘亚岚, 等. POI辅助下的高分辨率遥感影像城市建筑物功能分类研究[J]. 地球信息科学学报, 2017,19(6):831-837. [ QuC, Ren YH, Liu YL, et al. Functional classification of urban buildings in high resolution remote sensing images through POI-assisted analysis[J]. Journal of Geo-information Science, 2017,19(6):831-837. ] [ Qu C, Ren Y H, Liu Y L, et al. Functional classification of urban buildings in high resolution remote sensing images through POI-assisted analysis[J]. Journal of Geo-information Science, 2017,19(6):831-837. ]

    [14] 许泽宁, 高晓路. 基于电子地图兴趣点的城市建成区边界识别方法[J]. 地理学报, 2016,71(6):928-939.

    [15] 雷英哲, 田晶, 林镠鹏, 等. 道路网与兴趣点相结合的城市中心提取方法[J]. 测绘学报, 2015,44(S1):42-48. [ Lei YZ, TianJ, Lin LP, et al. A method for automatic delineation of city centers using POI and road networks[J]. Acta Geodaetica et Cartographica Sinica, 2015,44(S1):42-48. ] [ Lei Y Z, Tian J, Lin L P, et al. A method for automatic delineation of city centers using POI and road networks[J]. Acta Geodaetica et Cartographica Sinica, 2015,44(S1):42-48. ]

    [16] et alExtracting urban landmarks from geographical datasets using a random forests classifier[J]. International Journal of Geographical Information Science, 33, 2406-2423(2019).

    [17] Discovering regions of different functions in a city using human mobility and POIs[A]. ACM. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining[C], 186-194(2012).

    [18] 谷岩岩, 焦利民, 董婷, 等. 基于多源数据的城市功能区识别及相互作用分析[J]. 武汉大学学报·信息科学版, 2018,43(7):1113-1121. [ Gu YY, Jiao LM, DongT, et al. Spatial distribution and interaction analysis of urban functional areas based on multi-source data[J]. Geomatics and Information Science of Wuhan University, 2018,43(7):1113-1121. ] [ Gu Y Y, Jiao L M, Dong T, et al. Spatial distribution and interaction analysis of urban functional areas based on multi-source data[J]. Geomatics and Information Science of Wuhan University, 2018,43(7):1113-1121. ]

    [19] Research on the method of dividing urban functional areas based on multi-source points of interest data. Beijing: Chinese Academy of Surveying and Mapping(2018).

    [20] 池娇, 焦利民, 董婷, 等. 基于POI数据的城市功能区定量识别及其可视化[J]. 测绘地理信息, 2016,41(2):68-73. [ ChiJ, Jiao LM, DongT, et al. Quantitative identification and visualization of urban functional area based on POI data[J]. Journal of Geomatics, 2016,41(2):68-73. ] [ Chi J, Jiao L M, Dong T, et al. Quantitative identification and visualization of urban functional area based on POI data[J]. Journal of Geomatics, 2016,41(2):68-73. ]

    [21] 熊艳艳, 吴先球. 粗大误差四种判别准则的比较和应用[J]. 大学物理实验, 2010,23(1):66-68. [ Xiong YY, Wu XQ. The generalizing application of four judging criterions for gross errors[J]. Physical Experiment of College, 2010,23(1):66-68. ] [ Xiong Y Y, Wu X Q. The generalizing application of four judging criterions for gross errors[J]. Physical Experiment of College, 2010,23(1):66-68. ]

    [22] 王勇. 深网POI信息获取与一致性处理方法研究[J]. 测绘学报, 2017,46(3):399. [ WangY. Research on crawling and consistency processing of POIs from deep web[J]. Acta Geodaetica et Cartographica Sinica, 2017,46(3):399. ] [ Wang Y. Research on crawling and consistency processing of POIs from deep web[J]. Acta Geodaetica et Cartographica Sinica, 2017,46(3):399. ]

    [23] OpenStreetMap Data Extracts[online](2019). http://download.geofabrik.de/asia/china.html

    [24] GB/T 21010-2017.土地利用现状分类[S].北京: 中国标准出版社, 2017. [ GB/T 21010-2017. Current land use classification[S]. Beijing: Standards Press of China, 2017. ] [ GB/T 21010-2017. Current land use classification[S]. Beijing: Standards Press of China, 2017. ]

    [25] 陈晨, 王法辉, 修春亮. 长春市商业网点空间分布与交通网络中心性关系研究[J]. 经济地理, 2013,33(10):40-47. [ ChenC, Wang FH, Xiu CL, et al. The relationship between the spatial distribution of commercial networks and street centrality in Changchun[J]. Economic Geography, 2013,33(10):40-47. ] [ Chen C, Wang F H, Xiu C L, et al. The relationship between the spatial distribution of commercial networks and street centrality in Changchun[J]. Economic Geography, 2013,33(10):40-47. ]

    [26] 邹颖, 卞洪滨. 对中国城市居住小区模式的思考[J].世界建筑,2000(5):21-23. [ ZouY, Bian HB. Comments on urban residential district pattern in China[J]. World Architecture, 2000(5):21-23. ] [ Zou Y, Bian H B. Comments on urban residential district pattern in China[J]. World Architecture, 2000(5):21-23. ]

    Yuanhui CAO, Jiping LIU, Yong WANG, Liangjie WANG, Wenzhou WU, Fenzhen SU. A Study on the Method for Functional Classification of Urban Buildings by Using POI Data[J]. Journal of Geo-information Science, 2020, 22(6): 1339
    Download Citation