摘要
为解决空中目标点航迹大数据存储问题,在数据筛选环节,提出基于规则库的点航迹筛选方法;对点航迹要素信息的压缩,提出基于大数据列存储的点航迹信息行程编码、序列编码、固定位长编码压缩算法;对航迹位置信息的压缩,提出改进的自适应拟合压缩算法.对比分析及实验结果表明,本文方法能够大幅缩小空中目标点航迹数据的存储空间,为空中目标大数据挖掘分析做好数据准备.
To solve the problem of big data storing of aerial target trace, this paper proposes a point track screening method based on rule base in data screening process. For information compression on point track elements, the paper puts forward the compression algorithm of the run-length coding of the point track information, sequeutial coding and fixed bit length coding based on big data column storage. For the information compression of track position, an improved adaptive fitting compression algorithm is suggested. Comparative analysis and experimental results show that the proposed method can greatly reduce the storage space for the aerial target point track data, and make a data preparation for big data mining and analysis of aerial target.
作者
梁复台
李宏权
董睿杰
宋根阳
LIANG Futai;LI Hongquan;DONG Ruijie;SONG Genyang(Air Force Early Warning Academy,Wuhan 430019,China)
出处
《空军预警学院学报》
2018年第5期359-363,共5页
Journal of Air Force Early Warning Academy
基金
军队科研计划项目(KJ2016B2033)
关键词
空中目标
点航迹
大数据
筛选压缩
aerial target
point track
big data
screening and compression
