Spectroscopy and Spectral Analysis, Volume. 36, Issue 5, 1400(2016)
Research on the Training Samples Selection for Spectral Reflectance Reconstruction Based on Principal Component Analysis
[1] [1] Dicarlo J M. Journal of the Optical Society of America A, 2003, 20(7): 1261.
[3] [3] Hardeberg J Y. Optical Engineering, 2002, 41(10): 2532.
[4] [4] Cheung V, Westland S. Jouranl of Imaging Science and Technology, 2006, 50(5): 481.
[5] [5] Eckhard T, Valero E M, Hernández-Andrés J, et al. Applied Optics, 2014, 53(4): 709.
[6] [6] Shen H L, Zhang H G, Xin J H, et al. Applied Optics, 2008, 47(13): 2494.
[7] [7] Tzeng D Y, Berns R S. Color Research & Application, 2005, 30(2): 84.
[8] [8] Kwon O, Lee C, Park K, et al. Journal of Imaging Science and Technology, 2007, 5(2): 166.
[9] [9] Mark Brady, Gordon E Legge. Journal of the Optical Society of America A, 2009, 26(1): 30.
[10] [10] Berns R S, Taplin L A, Nezamabadi M. 14th Triennal ICOM-CC Meeting, 2005. 743.
[11] [11] Imai F H, Berns R S, Tzeng D Y. Journal of Imaging Science and Technology, 2000, 44(4): 280.
[12] [12] Day E A, Berns R S, Taplin L A. Journal of Imaging Science and Technology, 2004, 48(2): 93.
[13] [13] Heikkinen V, Lenz R, Jetsu T, et al. Journal of the Optical Society of America A, 2008, 25(10): 2444.
[14] [14] Hardeberg J Y. Journal of Imaging Science and Technology, 2004, 48(2): 105.
Get Citation
Copy Citation Text
LI Chan, WAN Xiao-xia, LIU Qiang, LIANG Jin-xing, LI Jun-feng. Research on the Training Samples Selection for Spectral Reflectance Reconstruction Based on Principal Component Analysis[J]. Spectroscopy and Spectral Analysis, 2016, 36(5): 1400
Received: Feb. 2, 2015
Accepted: --
Published Online: Dec. 20, 2016
The Author Email: