Spectroscopy and Spectral Analysis, Volume. 39, Issue 8, 2522(2019)

Study on the Tea Identification of Near-Infrared Hyperspectral Image Combining Spectra-Spatial Information

CAI Qing-kong1,*... LI Er-jun2, JIANG Jin-bao3, QIAO Xiao-jun3, JIANG Rui-bo1, FENG Hai-kuan4,5,6, LIU Shao-tang1 and CUI Xi-min3 |Show fewer author(s)
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  • 1[in Chinese]
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    References(11)

    [3] [3] Jiang J, Qiao X, He R. Journal of Food Engineering, 2016, 169: 284.

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    CLP Journals

    [1] YANG Bao-hua, GAO Yuan, WANG Meng-xuan, QI Lin, NING Jing-ming. Estimation Model of Polyphenols Content in Yellow Tea Based on Spectral-Spatial Features[J]. Spectroscopy and Spectral Analysis, 2021, 41(3): 936

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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

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    Paper Information

    Received: Jun. 25, 2018

    Accepted: --

    Published Online: Sep. 2, 2019

    The Author Email: CAI Qing-kong (hnnzcqk@163.com)

    DOI:10.3964/j.issn.1000-0593(2019)08-2522-06

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