Enrichment of topographic road database for the purpose of routing and navigation
作者机构：Department of Earth and Environmental SciencesXi’an Jiaotong UniversityXi’anChina Department of Photogrammetry and Remote SensingTechnische Universitaet MuenchenMunichGermany Department of CartographyTechnische Universitaet MuenchenMunichGermany
出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)
年 卷 期：2014年第7卷第5期
页 面：411-431页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：BKG German Federal Agency for Cartography and Geodesy Fundamental Research Funds for the Central Universities
主 题：data matching data integration routing-relevant geospatial data-set road network
摘 要：With growing demand on multi-purpose or multi-modal navigation,the route calculation needs to traverse semantically enriched road networks for different transportation ***,operational route planning algorithms reveal rather limited performances or their potential for comprehensive applications are constrained by the unavailable or insufficient interoperation among the under-lying geo-data that are separately maintained in different spatial *** overcome this limitation,a novel approach has been proposed to integrate the routing-relevant information from different data sources,which involves three processes:(1)automatic matching to identify the corresponding road objects between different datasets;(2)interaction to refine the automatic matching result;and(3)transferring the routing-relevant information from one data-set to *** process(1),the Delimited Stroke Oriented algorithm is employed to achieve the automatic data matching between different datasets,which has revealed a high matching rate and *** uncertain matching problems occur in areas where topological conditions are too complicated or *** remaining unmatched or wrongly matched objects are treated in process(2),with the help of a series of interaction *** the basis of refined matching results after the interaction,process(3)is dedicated to automatic integration of the routing-relevant information from different data sources.
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