Design and Application of Intelligent Large Data Analysis System for Space Target Detection and Recognition

被引：0
|
作者：
Chen, Hongyan [1 ]
Wang, Sihong [1 ]
Wan, Junwei [1 ]
机构：
[1] Beijing Inst Tracking & Telecommunicaitons Techno, Beijing, Peoples R China
来源：
2019 4TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2019) | 2019年
关键词：
Observation data; Monitoring station; Space target recognition; Large data; Hadoop;
D O I：
10.1109/ICMCCE48743.2019.00107
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the low efficiency of data management, inadequate data analysis and processing ability, incomplete utilization of observation data and low contribution to the improvement of system service performance in the monitoring station(Abbreviated as monitoring station) of space target detection and recognition test system, Hadoop and other big data technology are used to develop a platform with functions of data storage management, analysis and mining, quality evaluation, etc. The active controlled early warning system of system equipment performance status is established, which solves the difficult problem of storage and management of massive observation data. At the same time, using the results of large data analysis, mining and exploring the correlation and influence rules of monitoring data, to provide reliable support for improving the service performance of space target monitoring system.
引用
收藏
页码：447 / 451
页数：5
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