Feature Parameters Selection Based on Rough Set Theory for Target Recognition

摘要：

Rough set tbeory was applied to select optimal feature parameters of target recognition systems in this paper. Target recognition systems were treated as a kind of information systems with decision. Firstly, the original crude information caught by sensors was transformed to information table. Then, discernable matrix method was adopted to simplify the table and delete redundant attributes and recognition rules. Finally, the optimal feature parameters group was extracted, and the simple and accurate rules for target recognition were obtained. The validity and advantage of this approach were demonstrated by an example.

关键词： rough set target recognition fearture selection reduction

作者: Zhihong Xiu Yanhui Wang Tianzhong Dong

作者单位: Dept.of Operation and Command Dalian Naval Academy Dalian, China Dept.of Operation and Command Dalian Naval Academy Dalian,China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 398-402

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）