Spectroscopy and Spectral Analysis, Volume. 37, Issue 5, 1601(2017)
Spectral Dimension Reduction Model Research Based on Human Visual Characteristics and Residual Error Compensation
[1] [1] Lin Youwu, Deng Baichuan et al. Chemometrics and Intelligent Laboratory Systems, 2016, 150(15): 58.
[2] [2] Andreas Artemiou, Li Bing. Journal of Multivariate Analysis, 2013, 119: 176.
[3] [3] Wang Yifei, Ma Xiandong, Joyce Malcolm J. Renewable Energy, 2016, 97: 444.
[4] [4] He Songhua, Zhen I, Chen Qiao. Acta Optiea Siniea, 2014, 34(2): 0233001-1.
[5] [5] Flinkman M, Laamanen H, Tuomela J, et al. Optical Society of America, 2013, 30(9): 1806.
[6] [6] Ding Guohua, Zhu Yuanhong, Li Bo, et al. Package Engineering, 2012, 33(2): 14.
[7] [7] Tian J, Tang Y. Optics Letters, 2013, 38(15): 2818.
[8] [8] Laamanen H, Jetsu T, Jaaskelainen T, et al. JOSA A, 2008, 25(6): 1383.
[9] [9] Hu Weijie, Tang Shunfang. Modern Color Science and Application. Beijing: BeiJing Institute of Technology Press, 2007.
[10] [10] Babaei V, Amirshahi S H, Agahian F. Color Research and Application, 2011, 36(4): 295.
[11] [11] Wang Ying. A Study of Key Technologies in Multispectral Image Dolor Reproduction. Xi’an: Xidian University, 2010.
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LIU Shi-wei, LIU Zhen, TIAN Quan-hui, ZHU Ming. Spectral Dimension Reduction Model Research Based on Human Visual Characteristics and Residual Error Compensation[J]. Spectroscopy and Spectral Analysis, 2017, 37(5): 1601
Received: Sep. 28, 2016
Accepted: --
Published Online: Jun. 20, 2017
The Author Email: LIU Shi-wei (hnzzlsw@163.com)