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Wide—Band Multi—spectral Space for Color Representation
引用本文:KONGLingwang ZHUyuanhong KurtMuenger ZHANGXuliang. Wide—Band Multi—spectral Space for Color Representation[J]. 地球空间信息科学学报, 2003, 6(2): 69-74. DOI: 10.1007/BF02826757
作者姓名:KONGLingwang ZHUyuanhong KurtMuenger ZHANGXuliang
作者单位:Ph.Dcandidate,SchoolofJoumallsmandCommunication,WuhanUniversity,129LuoyuRoad,Wuhan430079,China
基金项目:rojectsupportedbytheNationalNaturalScienceFoundationofChina (No .60 1 770 0 5) .
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.

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
Kong?LingwangEmail author,Zhu?Yuanhong,Kurt?Muenger,Zhang?Xuliang. Wide-band multi-spectral space for color representation[J]. Geo-Spatial Information Science, 2003, 6(2): 69-74. DOI: 10.1007/BF02826757
Authors:Kong?Lingwang  author-information"  >  author-information__contact u-icon-before"  >  mailto:k-lingwang@hotmail.com"   title="  k-lingwang@hotmail.com"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Zhu?Yuanhong,Kurt?Muenger,Zhang?Xuliang
Affiliation:(1) School of Journalism and Communication, Wuhan University, 129 Luoyu Road, 430079 Wuhan, China
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).
Keywords:color representation  metamerism  wide-band multispectral space  PCA (principal component analysis)
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