摘要
针对现阶段空情数据缺乏完善证据挖掘系统问题,梳理了重点目标活动规律挖掘系统的功能需求,给出了系统设计步骤以及各挖掘算法的实现流程;利用"VS2010+SuperMap控件+MySQL数据库",实现了单航迹特征点提取、多航迹聚类、多航迹特征点融合、目标事件关联关系挖掘以及运动特征统计等功能;利用长期积累的空情数据,验证了相关功能.验证结果表明,该系统可以利用空情数据准确获得重点目标的活动规律.
In view of the lack of perfect evidence mining system for air situation data at present stage, this paper sorts out the functional requirements of key target activity rule mining system, and presents the system design steps and the realization flow of each mining algorithm. Then, the paper uses"VS2010 + SuperMap control +MySQL database"to realize the features of single track feature point extraction, multi-track clustering, multi-track feature point fusion, object event correlation mining, motion feature statistics, etc. Finally, the paper employs the long-term accumulated air situation data to verify the related functions. The verification results show that the system can accurately obtain the activity rule of the key target by using the air situation data.
作者
刘林
汤景棉
LIU Lin;TANG Jingmian(No.95662 Unit,the PLA,Lhasa 850000,China;Air Force EarlyWarning Academy,Wuhan 430019,China)
出处
《空军预警学院学报》
2019年第6期432-435,441,共5页
Journal of Air Force Early Warning Academy
关键词
目标活动规律挖掘系统
活动航线提取
运动特征统计
关联关系挖掘
target activity rule mining system
active route extraction
statistics of motion characteristics
incidence relation mining
