Spectroscopy and Spectral Analysis, Volume. 39, Issue 8, 2522(2019)
Study on the Tea Identification of Near-Infrared Hyperspectral Image Combining Spectra-Spatial Information
[3] [3] Jiang J, Qiao X, He R. Journal of Food Engineering, 2016, 169: 284.
[4] [4] Xiong C, Liu C, Pan W, et al. Food Chemistry, 2015, 176: 130.
[8] [8] Kelman T, Ren J, Marshall S. Artificial Intelligence Research, 2013, 2(4): 87.
[9] [9] PECIM Sisu Chemical Imaging Workstation, http://www.qd-china.com/uploads/UserUp/SisuCHEMA.pdf.
[10] [10] Qiao X, Jiang J, Qi X, et al. Food Chemistry, 2016, 220: 393.
[11] [11] Richards J A. Remote Sensing Digital Image Analysis An Introduction (5th edition). Berlin: Springer Science & Business Media, 2013.
[12] [12] Kuo B C, Landgrebe D A. IEEE Transaction on Geoscience and Remote Sensing, 2004, 42(5): 1096.
[13] [13] Chang C I. Hyperspectral Data Exploitation: Theory and Applications. Wiley-Interscience, 2007.
[15] [15] Kang X, Li S, Fang L, et al. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 2241.
[16] [16] Shen J, Yang X, Li X, et al. IEEE Transactions on Cybernetics, 2013, 43(2): 425.
[17] [17] Chang C C, Lin C J. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3): 1.
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CAI Qing-kong, LI Er-jun, JIANG Jin-bao, QIAO Xiao-jun, JIANG Rui-bo, FENG Hai-kuan, LIU Shao-tang, CUI Xi-min. Study on the Tea Identification of Near-Infrared Hyperspectral Image Combining Spectra-Spatial Information[J]. Spectroscopy and Spectral Analysis, 2019, 39(8): 2522
Received: Jun. 25, 2018
Accepted: --
Published Online: Sep. 2, 2019
The Author Email: CAI Qing-kong (hnnzcqk@163.com)