指挥控制与仿真2025，Vol.47Issue(5)：58-63,6.DOI:10.3969/j.issn.1673-3819.2025.05.008
网格化时空数据关联分析方法
Grid-based spatiotemporal data association analysis
刘旭波 1刘敬蜀 1贾丽1
作者信息
- 1. 中国人民解放军 91977 部队,北京 100036
- 折叠
摘要
Abstract
With the rapid development of information perception methods,the volume of multi-source heterogeneous data has increased explosively.Traditional methods exhibit obvious limitations in handing inconsistent spatio-temporal scales and in-formation redundancy.In this paper,the principles of spatiotemporal grid coding and its application are introduced and an innovative unfied spatiotemporal grid based data association analysis method is proposed to conduce research on spatio-tempo-ral information extraction,unified encoding and identification of spatio-temporal grid data,cross-scale spatio-temporal data sharing and dynamic correlation analysis.Our method constructs a spatio-temporal grid framework for unified alignment of heterogeneous multi-source data spatial coordinates,temporal baseline synchronization,and attribute correlation with behav-iors.In addition,a spatio-temporal grid framework is constructed to align spatial coordinates of multi-source heterogeneous data,synchronize temporal baseline,and correlate attribute behaviors.The result of simulation of typical low-altitude air-space planning for Unmanned Aerial Vehicles verifies that our proposed method is enable to effectively enhance the manage-ment and utilization efficiency in classification,integration,and correlation analysis of multi-source heterogeneous data.关键词
时空网格/跨尺度数据共享/动态关联分析Key words
spatio-temporal grid/cross-scale data sharing/dynamic correlation association分类
信息技术与安全科学引用本文复制引用
刘旭波,刘敬蜀,贾丽..网格化时空数据关联分析方法[J].指挥控制与仿真,2025,47(5):58-63,6.
