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主观引导特征提取法在光谱识别中的应用
引用本文:陈伟,瞿晓,葛丁飞.主观引导特征提取法在光谱识别中的应用[J].科技通报,2011,27(4).
作者姓名:陈伟  瞿晓  葛丁飞
作者单位:1. 浙江省科技咨询中心,杭州,310003
2. 浙江科技学院,电气工程学院,杭州,310043
3. 浙江科技学院,信息学院,杭州,310043
摘    要:在许多情况下,并非所有类别都有着同样的重要性和实际意义,我们希望在特征提取时能体现出类间重要性和意义上的差异,而传统特征提取方法缺乏解决这一问题的能力.为此,利用一种基于主观引导特征提取法对光谱数据进行特征提取和分类,其主要思想是:将人的主观意图融合到特征提取中,提取有利于具有优先权类别的分类特征.结果表明,与传统线性鉴别分析法(LDA)相比较,该方法可获得更加有效的分类特征.

关 键 词:光谱  特征提取  可分性  分类

Application of Subjective Introduction Feature Extraction Mothod in Spectrum Discrimination
CHEN Wei,QU Xiao,GE Dingfei.Application of Subjective Introduction Feature Extraction Mothod in Spectrum Discrimination[J].Bulletin of Science and Technology,2011,27(4).
Authors:CHEN Wei  QU Xiao  GE Dingfei
Institution:CHEN Wei 1,QU Xiao 2,GE Dingfei 3(1.Zhejiang Science and Technology Consulting Center,Hangzhou 3100012,China,2.School of Electrical Engineering,Zhejiang University of Science and Technology,Hangzhou 310043 China,3.School of Information and Electronic Engineering,Hangzhou 310043,China)
Abstract:In most cases,it is more important and significant to recognize certain specific classes rather than to discrim-inate all the classes.It is desired that the differences on the imporrtance and significance can be reflected during the fea-ture extraction.The subjective introduction based method was used and applied to the feature extraction of spectrum,which the subjective significance was introduced into the feature extraction for the classification with priority.The experi-mental results show that the propo...
Keywords:spectrum  feature extraction  separability  classification  
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