| 核函数主成分分析在粮虫特征提取中的应用 |
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| 引用本文： | 张红涛,楚清河,胡玉霞,顾波.核函数主成分分析在粮虫特征提取中的应用[J].河南农业科学,2011,40(9):90-93. |
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| 作者姓名： | 张红涛 楚清河 胡玉霞 顾波 |
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| 作者单位： | 1. 华北水利水电学院电力学院,河南郑州,450011
2. 郑州大学电气工程学院,河南郑州,450001 |
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| 基金项目： | 国家自然科学基金项目(30871449); 河南省教育厅自然科学研究计划项目(2011B210028) |
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| 摘 要： | 针对储粮害虫种类多、类别之间区分度比较小的特点,提出基于核函数主成分分析(KPCA)的粮虫特征提取方法.利用高斯径向基核函数,对特征选择后的10维原始数字特征进行核函数主成分分析,即通过非线性变换将样本数据从输入空间映射到高维特征空间,然后在高维特征空间进行特征提取.从类间可分性指数和粮虫分类效果2个方面,将KPCA法...
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| 关 键 词： | 储粮害虫 特征提取 核函数主成分分析 识别 |
Application of Kernel Principal Component Analysis in Feature Extraction of Stored-grain Insects |
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| ZHANG Hong-tao,CHU Qing-he,HU Yu-xia,GU Bo.Application of Kernel Principal Component Analysis in Feature Extraction of Stored-grain Insects[J].Journal of Henan Agricultural Sciences,2011,40(9):90-93. |
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| Authors: | ZHANG Hong-tao CHU Qing-he HU Yu-xia GU Bo |
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| Institution: | ZHANG Hong-tao1,CHU Qing-he1,HU Yu-xia2,GU Bo1(1.Institute of Electric Power,North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China,2.College of Electric Engineering,Zhengzhou University,Zhengzhou 450001,China) |
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| Abstract: | According to the multi-species and less separable characteristics among various species of stored-grain insects,an approach for insect feature extraction based on kernel principle component analysis(KPCA) was proposed.Using the Gaussian RBF kernel function,ten morphological digital features of insects after feature selection were analyzed based on KPCA.The sample data were projected from the input space to high dimensional feature space through a nonlinear mapping function.By performing PCA on the high dime... |
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| Keywords: | Stored-grain insects Feature extraction Kernel principal component analysis(KPCA) Recognition |
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