摘要
物理空间是事物运行的主要维度,各种活动都受到空间维度的影响,在军事领域开展空间数据挖掘应用前景尤为广阔。针对电磁领域产生的海量空间信息关联数据,充分利用Geo-Hash具有的多层次递归、唯一性和降维编码特点,开展了基于GeoHash的目标典型航迹提取算法和多目标航迹重合度计算研究。该算法原理清晰、高效简洁,在电磁大数据挖掘工程项目中进行了应用效果检验。
Physical space is the main dimension of the operation of things,and all kinds of activities are affected by the spatial dimension.The application prospect of spatial data mining in the military field is particularly broad.According to the data of massive spatial information generated in the field of electromagnetic field,the multi-level recursive,unique and dimension-reducing coding features of GeoHash are fully utilized to carry out the research on the target-typical flight path extraction algorithm based on GeoHash and the multi-target track coincidence calculation.The principle of the algorithm is clear,efficient and concise,and the application effect test also is done in the electromagnetic big data mining engineering project.
作者
李高云
旷生玉
江果
何欢
LI Gaoyun;KUANG Shengyu;JIANG Guo;HE Huan(Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China)
出处
《电子信息对抗技术》
2020年第4期23-27,共5页
Electronic Information Warfare Technology
