%0 Journal Article
%T Modified nearest feature classifiers and their application in radar target recognition<br>修正最近特征分类器及其在雷达目标识别中的应用
%A LIU Hua-lin
%A YANG Wan-lin
%A MEI Yuan-yuan
%A ZHAO Jian-hong
%A <br>刘华林
%A 杨万麟
%A 梅元媛
%A 赵建宏
%J 计算机应用
%D 2007
%I 
%X The classifiers of Nearest Feature Line (NFL) and Nearest Feature Plane (NFP) share the same drawback in terms of the computation complexity under large data sample size and high dimensionality.Therefore,a new search strategy based on locally nearest neighborhood rule was proposed to modify the two classifiers.Compared to the traditional NFL and NFP,the modified ones can not only improve the real-time performance significantly,but also achieve competitive recognition rate.Experimental results on three measured airplanes data have confirmed the effectiveness of the proposed methods.
%K pattern classification
%K Nearest Feature Line (NFL)
%K Nearest Feature Plane (NFP)<br>模式分类
%K 最近特征线
%K 最近特征平面
%K 修正
%K 最近特征分类器
%K 雷达目标识别
%K 应用
%K target
%K recognition
%K radar
%K application
%K classifiers
%K feature
%K 有效性
%K 方法
%K 分类结果
%K 实测数据
%K 飞机
%K 实时性能
%K 算法
%K 识别率
%K 搜索策略
%K 最近邻准则
%K 局部
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=AEA066CE2E730DA4FBD6AE62202A0E68&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=117143DBED3B4430&eid=B65E5C7BA0DC04DC&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9