Underground Pipeline Data Matching Considering Multiple Spatial Similarities

Acta Geodaetica et Cartographica Sinica

YUAN Sai¹  ZHANG Shuliang¹  CHU Zhengwei²  GONG Minxia³  FANG Caili⁴ 

[1] ;Honour School of Nanjing Normal University, Nanjing 210023, China;Key Laboratory of Virtual Geographic Environment for the Ministry of Education, Nanjing Normal University, Nanjing 210023, China;Nanjing Institute of Surveying, Mapping and Geotechnical Investigation, Co. Ltd, Nanjing 210019, China;

关键词: integrated pipeline;    professional pipeline;    data matching;    spatial similarity;    support vector machine;   

DOI  :  10.11947/j.AGCS.2015.20150207

来源: DOAJ

【 摘 要 】

Integrated and professional underground pipeline data are two forms of pipeline.Integrated underground pipeline data is accurate and general, while professional underground pipeline data expresses and contains detailed attribute information.Taking the data of natural gas pipeline as an example, this paper calculates structural similarity measured by the distribution pattern of pipelines that pipeline-point connects with, semantic similarity presented by the names and attributes of the pipeline-point ontology concept, and shape similarity characterized by the shape of arcs between two pipeline-points. The matching of pipe points is realized with the method of support vector machine classification algorithm and unique-matching principle combined with these spatial similarity. Test results show the matching of pipe points is well solved by the proposed algorithm.

【 授权许可】

Unknown