顾及语义关联信息的道路选取方法  

A Road Selection Method Considering Semantic Correlation Information

作　　者：陈晓东[1] 余劲松弟 Chen Xiaodong;Yu Jinsongdi(The Academy of Digital China(Fujian),Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学数字中国研究院,福建福州350108

出　　处：《海南大学学报（自然科学版）》2021年第3期227-234,共8页Natural Science Journal of Hainan University

摘　　要：提出一种顾及语义关联信息的道路选取方法,通过编写正则表达式模版,从道路周边要素的地址中提取道路信息,建立道路信息与路网中道路的语义关联,计算道路的关联频数值和关联密度值,作为道路的关联特征指标,并融合道路的几何、语义和拓扑特征中的6项主要指标,以熵值法来计算各项指标的权重,共同构建道路的综合选取模型.选取成都市三环内道路网作为实验案例,结果表明:相比于缓冲区计算的方法,本文方法在计算道路周边要素时,数据的综合处理能力更强;数据操作流程化,处理效率更高,稳定性更强.In the report,a road selection method that considered semantic related information was proposed.By constructing a regular expression template,the road information was extracted from the addresses of the surrounding elements of the road,the semantic relationships between roads and the surrounding elements in the road network were established,the correlation frequency values and correlation density values were used as the road correlation characteristic indexes,the six main indexes of road geometric,semantic and topological characteristics were merged,and an entropy method was used to calculate the weight of each index,the comprehensive road selection model was constructed.The road network within Third Ring Road of Chengdu was selected as an experimental case.The results indicated that compared with the buffer calculation method,the data comprehensive processing capacity of our method is stronger,the data operation is streamlined,the data processing efficiency is higher,and the stability is stronger.

关 键 词：语义关联 缓冲区 正则表达式 关联特征 熵值法 

分 类 号：P208[天文地球—地图制图学与地理信息工程]