多尺度空间数据联动更新技术研究现状及展望

多尺度空间数据库是国民经济建设各级行政决策规划的重要依据,在智慧城市、国防建设中发挥着关键作用。数据的现势性影响着空间数据库的运行效率,而多尺度空间数据联动更新为保证数据的现势性提供重要技术支撑。伴随着人工智能、地理空间大数据和地图综合智能化发展,空间数据联动更新取得了不少成果,同时也面临诸多挑战。本文首先,围绕多尺度空间数据的更新策略、匹配方法、更新信息检测及更新信息传递等方面阐述了联动更新的研究进展;然后,梳理和分析了联动更新过程各阶段人工智能技术运用现状;最后,结合自动地图综合和地理空间大数据背景,探讨了多尺度空间数据联动更新的发展趋势。

Advance and future development of the multi-scale spatial data linkage updating

Multi-scale spatial database is an important basis for administrative decision-making and planning at all levels of national economic construction, and also plays a key role in smart city and national defense construction. The current situation of data is related to the operation efficiency of database, and multi-scale spatial data linkage updating provides important technical support.With the development of artificial intelligence, geospatial big data and comprehensive intelligence of maps, many achievements have been made in the linkage updating of spatial data, though it also faces many challenges. Firstly, the research progress of linkage updating is described in terms of updating strategy, matching method, change information detection and updating information transmission of multi-scale spatial data. Secondly, the application of artificial intelligence technology in each stage of the linkage updating process is analyzed. Finally, combining with automatic maps generalization and the background of geospatial big data, the development trend of linkage updating in multi-scale spatial data is discussed.