Feature matching algorithm based on spatial similarity
The disparities of features that represent the same real world entities from disparate sources usually occur,thus the identification or matching of features is crutial to the map conflation.Motivated by the idea of identifying the same entities through integrating known information by eyes,the feature matching algorithm based on spatial similarity is proposed in this paper.Total similarity is obtained by integrating positional similarity,shape similarity and size similarity with a weighted average algorithm,then the matching entities is achieved according to the maximum total similarity.The matching of areal features is analyzed in detail.Regarding the areal feature as a whole,the proposed algorithm identifies the same areal features by their shape-center points in order to calculate their positional similarity,and shape similarity is given by the function of describing the shape,which ensures its precision not be affected by interferes and avoids the loss of shape information,furthermore the size of areal features is measured by their covered areas.Test results show the stability and reliability of the proposed algorithm,and its precision and recall are higher than other matching algorithm.
map conflation the same entities matching spatial similarity
Tang Wenjing Hao Yanling Zhao Yuxin Li Ning
407 Lab,College of Automation,Harbin Engineering University,Harbin,China,150001
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）