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  • 标题:SPATIO-TEMPORAL MODELING IN ROAD NETWORK CHANGE DETECTION AND UPDATING
  • 本地全文:下载
  • 作者:LI. Lin ; YIN. Zhangcai ; ZHANG. Xu
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2005
  • 卷号:XXXVI-2/W25
  • 出版社:Copernicus Publications
  • 摘要:Automatic road map updating has been one of the difficult and important research topics in the community of geomatics. An operational road map updating system should include three key components: the generation of a new version of roads, the automatic road change detection/updating and the spatio-temporal modelling of road data. Special considerations have to be given to the spatio-temporal modelling of road networks, such as the decomposition of road attributes, the maintenance of road topological relationships, the choice of state-based or event-based modelling, etc. This paper presents a new spatio-temporal data model for road networks in which both the state and event information are integrated with road geometric and topological relationships. A prototype system for road map updating is developed based on the proposed data models. The system has demonstrated that it is necessary and possible to incorporate spatio-temporal modelling in a road network updating system
  • 关键词:Spatio-temporal modeling; road database; change detection; map updating
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