Linear building pattern recognition via spatial knowledge graph

被引：0
作者：
Wei Z. [1 ,2 ]
Xiao Y. [3 ,4 ]
Tong Y. [3 ]
Xu W. [5 ]
Wang Y. [1 ,2 ]
机构：
[1] Key Laboratory of Network Information System Technology, Institute of Electronic, Chinese Academy of Sciences, Beijing
[2] The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
[3] School of Resources and Environment Science, Wuhan University, Wuhan
[4] School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen
[5] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2023年 / 52卷 / 08期
基金：
中国国家自然科学基金;
关键词：
building; Gestalt principles; knowledge graph; spatial distribution; spatial reasoning;
D O I：
10.11947/J.AGCS.2023.20220121
中图分类号：
学科分类号：
摘要：
Building patterns are important urban structures that reflect the effect of the urban material and social-economic on a region. Previous researches are mostly based on the graph isomorphism method and use rules to recognize building patterns, which are not efficient. The knowledge graph uses the graph to model the relationship between entities, and specific subgraph patterns can be efficiently obtained by using relevant reasoning tools. Thus, we try to apply the knowledge graph to recognize linear building patterns. First, we use the property graph to express the spatial relations in proximity, similar and linear arrangement between buildings; secondly, the rules of linear pattern recognition are expressed as the rules of knowledge graph reasoning; finally, the linear building patterns are recognized by using the rule-based reasoning in the built knowledge graph. The experimental results on a dataset containing 1286 buildings show that the method in this paper can achieve the same precision and recall as the existing methods; meanwhile, the recognition efficiency is improved by 5.98 times. © 2023 SinoMaps Press. All rights reserved.
引用
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页码：1355 / 1363
页数：8
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