基于主成分分析法的可见与红外图像融合PCA-based image fusion of visible and infrared image

本文介绍的方法是基于主成分分析法（Principal Component Analysis）的可见光与红外图像的像素级融合

） Abstract： Image fusion is ‘the combination of two or more different images to form a fused image by using a fusion algorithm’

In this paper, an algorithm is designed in which extracts the pixels from the stacked images

Principal component analysis is carried out which aims at reducing a large set of variables to a small set that still containing most of the information that was available in the large set

The technique of principal component analysis enables us to create and use a reduced set of variables, which are called principal factors

A reduced set is much easier to analyze and interpret

In this paper, fusion of images obtained from a visible camera and that from an infrared camera is been done

Keywords： image fusion;principal components analysis;visible light and infrared picture 下载PDF阅读器 PDF全文下载： 初稿 （ 259 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 逯祎

 基于主成分分析法的可见与红外图像融合[EB/OL]

北京：中国科技论文在线

主成分分析法

可见光与红外图像 Lu Yi * （ The Graduate School of The Second Academy of China Aerospace

总览 评价 逯祎 * （ 中国航天二院研究生院

与直接重叠的融合方法相比

[2009-04-02]

http://www

paper

edu

cn/releasepaper/content/200904-57

发表期刊： 暂无

因为本文所介绍的方法还利用了平滑滤波后的偏差信息