测绘学报 ›› 2022, Vol. 51 ›› Issue (7): 1520-1535.doi: 10.11947/j.AGCS.2022.20220095
张新长1, 何显锦2, 孙颖3, 黄健锋4, 张志强5
收稿日期:2022-02-28
修回日期:2022-07-15
发布日期:2022-08-13
通讯作者:
何显锦
E-mail:xjhe9@nnnu.edu.cn
作者简介:张新长(1957-),男,教授,博士生导师,主要研究方向为城市地理信息系统。E-mail:zhangxc@gzhu.edu.cn
基金资助:ZHANG Xinchang1, HE Xianjin2, SUN Ying3, HUANG Jianfeng4, ZHANG Zhiqiang5
Received:2022-02-28
Revised:2022-07-15
Published:2022-08-13
Supported by:摘要： 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。
中图分类号:
张新长, 何显锦, 孙颖, 黄健锋, 张志强. 多尺度空间数据联动更新技术研究现状及展望[J]. 测绘学报, 2022, 51(7): 1520-1535.
ZHANG Xinchang, HE Xianjin, SUN Ying, HUANG Jianfeng, ZHANG Zhiqiang. Advance and future development of the multi-scale spatial data linkage updating[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1520-1535.
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