首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Rough/SVM的飞机目标识别模型
引用本文:韩兆林.基于Rough/SVM的飞机目标识别模型[J].飞机设计,2011,31(5):68-72.
作者姓名:韩兆林
作者单位:第二炮兵士官学校501教研室,山东青州,262500
摘    要:研究了基于粗糙集(Rough)和支持向量机(SVM)的模式分类技术,结合遥感图像中军用飞机目标识别进行理论分析和试验研究。基于粗糙集和支持向量机算法的优势,设计了基于粗糙集和决策有向无环图的支持向量机模式识别分类器,并对分类的性能进行了分析研究。利用粗糙集理论中属性约简方法去除冗余属性,降低飞机特征维数,提出了使用决策...

关 键 词:目标识别  粗糙集  支持向量机  有向无环图支持向量机

Airplane Automatic Target Recognition Model Based on Rough/SVM
HAN Zhao-lin.Airplane Automatic Target Recognition Model Based on Rough/SVM[J].Aircraft Design,2011,31(5):68-72.
Authors:HAN Zhao-lin
Institution:HAN Zhao-lin ( The 501 Office of Second Artillery Force Sergeant School, Qingzhou 262500, China )
Abstract:Technique of pattern recognition based on rough set and support vector machine, combined with the airplane recognition for optical remote sensing images is analyzed and researched in this paper. A classifier based on the advantage of rough set and DAGSVM ( Directed Acyclic Graph Support Vector Machines) is designed, and its performances is researched. Employing heuristic method of reduction induce the classification rule from decision table and DAGSVM method in a remote sensing classification experiment.
Keywords:automatic target recognition  rough set  support vector machine  DAGSVM
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号