多源空间数据的研究。
目前多源空间数据集成的模式有数据格式转换、数据互操作和直接数据访问。
At present, the modes of the integration of multi-source spatial data are data format exchange, data interoperation, and directly data access.
空间数据库引擎；空间数据库管理系统；多源空间数据无缝集成；调整和优化；海量空间数据。
Spatial Database Engine; Spatial Database Management System; Seamless Integration of Multisource Spatial Data; Adjusting and Optimizing; Massive Spatial Data.
多源空间数据共享一直是VR - GIS(虚拟现实地理信息系统)应用系统开发中需要解决的重要问题。
Sharing between various spatial data has always been a main problem to the development of VR-GIS, which is a new field integrating GIS and VR (Virtual Reality).
而多源矢量空间数据融合最大的难题之一就是识别多源数据之间的对应实体。
While one of the most difficult tasks in vector-vector data fusion is the identification of corresponding object of multi-source data.
矢量空间数据融合中最难的问题来自于数据的多源性、不一致性。
The most difficult problem in vector-vector data fusion is the multi-source and inconsistency of data.
相似性度量是用于研究多源数据之间相似程度的，是对空间数据进行模式识别的基础。
Similarity measure is usually used to study the similar degree between multisource data, which is the basis of pattern recognition on spatial data.
对地图生产中的多源数据利用作了较为全面的研究，包括资料分类、数据获取方法和数据处理方法。把各种资料数据统一在一个应用平台上，保证了地图和空间数据的现势性；
Study application methods of the multi-sources data in map production, including sort of sources, data collection, and data processing, in order to updating the map and spatial data in one platform.
对地图生产中的多源数据利用作了较为全面的研究，包括资料分类、数据获取方法和数据处理方法。把各种资料数据统一在一个应用平台上，保证了地图和空间数据的现势性；
Study application methods of the multi-sources data in map production, including sort of sources, data collection, and data processing, in order to updating the map and spatial data in one platform.
应用推荐