| Wide—Band Multi—spectral Space for Color Representation |
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| 作者姓名： | KONGLingwang ZHUyuanhong KurtMuenger ZHANGXuliang |
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| 作者单位： | Ph.Dcandidate,SchoolofJoumallsmandCommunication,WuhanUniversity,129LuoyuRoad,Wuhan430079,China |
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| 基金项目： | rojectsupportedbytheNationalNaturalScienceFoundationofChina (No .60 1 770 0 5) . |
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| 摘 要： | This paper develops a wide-band multi-spectral space for color representation with Aitken PCA al-gorithm. This novel mathematical space using the broad-band spectra matching metod aims at improving the accuracy of color representation as well as reducing costs for processing and storing multi-spectral images.The results show that the space can present our experimental original spectral spaces(i,e.Munsell color matt and DIN-6164 color chips)with high efficiency,and that the spanning space with three eigenvectors can present the original space at more than 98% CSCR,and when 5eigenvectors are used it can cover almost the whole original spaces.
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| 关 键 词： | 遥感 彩色图像 计算机 主成分分析 PCA 光谱匹配 |
Wide-band multi-spectral space for color representation |
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| KONGLingwang ZHUyuanhong KurtMuenger ZHANGXuliang.Wide-band multi-spectral space for color representation[J].Geo-Spatial Information Science,2003,6(2):69-74. |
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| Authors: | Email author" target="_blank">Kong?LingwangEmail author Zhu?Yuanhong Kurt?Muenger Zhang?Xuliang |
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| Institution: | (1) School of Journalism and Communication, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China |
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| Abstract: | This paper develops a wide-band multi-spectral space for color representation with Aitken PCA algorithm. This novel mathematical
space using the broad-band spectra matching method aims at improving the accuracy of color representation as well as reducing
costs for processing and storing multi-spectral images. The results show that the space can present our experimental original
spectral spaces (i. e. Munsell color matt and DIN-6164 color chips) with high efficiency, and that the spanning space with
three eigenvectors can present the original space at more than 98% CSCR, and when 5 eigenvectors are used it can cover almost
the whole original spaces.
Project supported by the National Natural Science Foundation of China (No. 60177005). |
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| Keywords: | color representation metamerism wide-band multispectral space PCA (principal component analysis) |
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