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	A new method of target recognition based on rough set and support vector machine (EI CONFERENCE)
	Guo Z.-J. ; He X. ; Wei Z.-H. ; Liang G.-L.
	2010
会议名称	2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010
会议地点	Xiamen, China
关键词	Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership so that some samples can be chosen by class membership to be trained. After pre-treatment an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.
页码	570-574
收录类别	EI
内容类型	会议论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/33466]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Guo Z.-J.,He X.,Wei Z.-H.,et al. A new method of target recognition based on rough set and support vector machine (EI CONFERENCE)[C]. 见:2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010. Xiamen, China.

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