AdaBoost-SVMDT及其在HRRP识别中的应用  

AdaBoost-SVMDT and the Application in HRRP Recognition

作　　者：郑全第[1] 朱发顺[1] 郑春颖[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《弹箭与制导学报》2008年第3期305-308,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：陕西省自然科学基金(2004F36)资助

摘　　要：HRRP所具有的易于获得和处理的独特优势,使得基于HRRP的识别方法成为现代战争环境感知和目标识别的主要方法之一。AdaBoost是一种能够提高任意分类器的分类精度的学习框架,将其引入SVM-DT,并应用于HRRP识别,可提高HRRP的识别精度。实验表明,AdaBoost-SVMDT相比于SVMDT有效提高了HRRP的分类精度。The technology of recognition based on HRRP becomes one of the uppermost in environmental perception and objective recognition in modern war because high range resolution profile is easy to get and dispose, AbaBoost is a framework of study which may improve the performance of any given classifier, it was imported into SVMDT in the paper, and this new algorithm was applied to the recognition of high range resolution profile. Experimentation indicates that this algorithms better improves classification precision compared with SVMDT.

关 键 词：HRRP ADABOOST SVMDT 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]