江西科学2025，Vol.43Issue(2)：363-368,6.DOI:10.13990/j.issn1001-3679.2025.02.021
基于CRITIC算法的开放街道地图面实体匹配方法
OpenStreetMap Polygon Entity Matching Method Based on CRITIC Algorithm
摘要
Abstract
In order to overcome the impact of spatial heterogeneity of developed street map data on its application in data matching and updating,the authors proposes an OpenStreetMap(OSM)surface entity matching method based on Criteria Importance Through Inter-criteria Correlation(CRITIC)algorithm.In this study,the spatial heterogeneity of OSM data is fully considered.When matching OSM surface entities with other data,the CRITIC algorithm is introduced to calculate the weight of geometric similarity factor of each surface element in OSM data,which avoids the same similarity factor weight for all surface entities in the matching data set.The subjectivity and limitation of traditional artificial weighting methods are reduced,and the matching accuracy of OSM surface entities with other data sets is improved.The experimental results show that the proposed method can effectively overcome the influence of spatial heterogeneity of OSM data on the matching accuracy,and improve the matching accuracy of OSM surface entities with other data.The matching accuracy,recall rate and F1 score reached 97.56%,98.04%and 97.80%,respectively,which were better than the comparison method.关键词
CRITIC算法/开放街道地图/面实体/匹配方法Key words
Criteria importance through inter-criteria correlation algorithm/OpenStreetMap/polygon entity/matching method分类
天文与地球科学引用本文复制引用
刘波,吴昊雄,张子厚,张黔龙,刘媛媛,廖明..基于CRITIC算法的开放街道地图面实体匹配方法[J].江西科学,2025,43(2):363-368,6.基金项目
国家自然科学基金项目(42161064,42104030,42101209) （42161064,42104030,42101209）
江西省自然科学基金项目(20232ACB204032). （20232ACB204032）
