空间数据融合的框架流程及发展现状研究

摘要

在介绍空间数据概念和框架流程的基础上，文章将数据集成、数据匹配和数据融合三个重要环节分别展开，列举了各自的内容、处理方法及研究现状。重点介绍了基于本体的语义集成，线状、面状要素的数据匹配，矢量、栅格数据间的融合处理，以及空间数据基础设施(SDI)。%Introducing the conception and flowline of spatial data fusion, the paper expatiates on data integration, data matching and data fusion respectively, and lists their own contents, processing methods and study status. The following contents are mainly discussed:semantic transformation based on Geo-Ontology, data matching of linear features and areal features, data fusion of vector data and raster data, and spatial data infrastructure.