A new approach for matching road lines using efficiency rates of similarity measures

Authors : Müslüm HACAR, Turkay GÖKGÖZ

Pages : 146-156

Doi:10.26833/ijeg.791324

View : 18 | Download : 7

Publication Date : 2021-10-15

Article Type : Research Paper

Abstract :The lack of common semantic information among corresponding geo-objects in different datasets required new matching approaches based on geometric and topological measures. In this study, a semi-automated matching approach based on the matching capabilities of geometric and topological measures was proposed. In the first stage, after the initial matching performed by a scoring system, the efficiency of each measure on the matching accuracy is evaluated manually by an operator. In the second stage, insert ignore into journalissuearticles values(1); the score of each measure is updated in accordance with the accuracy distributions. This means that the score of a measure is increased if it is relatively more significant than others. Finally, insert ignore into journalissuearticles values(2); matching process is repeated with new scores. The proposed approach was tested by matching tree-, cellular-, and hybrid-patterned road lines in municipal, private navigation, and OpenStreetMap datasets. The experimental testing shows that it has satisfactory results both in accuracy and completeness. F-measure is over 86% in hybrid-patterned Bosphorus datasets.  
Keywords : Object matching, Similarity measure, Efficiency ratio, Geometric integration, Map conflation