基于剖分网格的空间数据高效拼接与快速提取方法  

An Efficient Splicing and Rapid Extraction of Spatial Data Method Based on Global Subdivsion

作　　者：席福彪[1] 程承旗[2] 陈波[3] 

机构地区：[1]北京大学遥感与地理信息系统研究所,北京100871 [2]北京大学工学院,北京100871 [3]空军空降兵学院,广西桂林541003

出　　处：《地理信息世界》2014年第4期31-36,共6页Geomatics World

基　　金：国家973计划项目(61399)资助;广西自然科学基金项目(2012GXNSFAA053181;2013GXNSFBA019265;2013GXNSFBA019266)资助

摘　　要：现有海量空间数据拼接与提取的效率低,造成应急保障时效性较差。针对这一问题,提出了一种基于剖分网格的空间数据高效拼接与快速提取方法。核心思路是:以GeoSOT全球剖分网格为基础,依托空间数据剖分组织方法,实现大到整个数据集小到数据内部块的统一逻辑拼接与多尺度提取。实验证明:采用剖分组织模型,空间数据提取尺度更灵活、提取效率更高,能够大幅度提升空间数据应急保障的时效性。For the problem of low extraction efficiency and poor timeliness of emergency support during massive spatial data, this paper proposes an efficient splicing rapid extraction method of spatial data based on subdivision grid. Relying on spatial data grid organizational structure, the multi-source spatial data with different specifications unified by GeoSOT grid organization, and internal area of remote sensing image blocked by logic GeoSOT grid, to enable the identification of data sets from multiple sources into the grid data of the block within a single unified logical index. Based on this uniform grid index, block can be directly and rapidly extracted. Tests show that： the GeoSOT data grids organizational structure not only overcomes the limit of spatial data repeat warehouse, but also extracts the scale of spatial data more flexible and efficiency, it improves the timeliness of emergency response.

关 键 词：多源空间数据 GeoSOT 数据拼接 数据提取 

分 类 号：P208[天文地球—地图制图学与地理信息工程]