ADVANCED MULTISENSOR ATR SYSTEM USING AN IMPROVEDVERSION OF FUZZY INTEGRAL

被引：0
|
作者：
Vizitiu, Iulian-Constantin [1 ]
Teodoru, Emil [2 ]
机构：
[1] Mil Tech Acad, Bucharest, Romania
[2] Nicolae Balcescu Land Forces Acad, Sibiu, Romania
来源：
17TH INTERNATIONAL CONFERENCE - THE KNOWLEDGE-BASED ORGANIZATION: APPLIED TECHNICAL SCIENCES AND ADVANCED MILITARY TECHNOLOGIES, CONFERENCE PROCEEDING 3 | 2011年
关键词：
decision fusion; fuzzy integral; genetic algorithm; ATR system;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
According to literature, it is well-known that an interesting way to increase the recognition function assigned to a multisensor ATR system is to use powerful decision fusion techniques on available information flows. Consequently, in this paper a proper genetic procedure to improve the performance level of standard fuzzy integral used to assure the decision fusion process at the output of a multisensor ATR system is described. To confirm the broached theoretical aspects, a real image database belonging to video, thermal and HRR imagery was also used.
引用
收藏
页码：366 / 370
页数：5
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