Opto-Electronic Engineering, Volume. 48, Issue 7, 210075(2021)

Development of online identification system for turquoise based on hyperspectral imaging technology

Wu Jinquan1、*, Wang Jian1, Xiong Wei1, Huang Kunpeng1, Lin Zhaoxiang1, and Feng Xin2
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(3)

    [8] [8] Schwarzinger B, Schwarzinger C. Investigation of turquoise imitations and treatment with analytical pyrolysis and infrared spectroscopy[J]. J Anal Appl Pyroly, 2017, 125: 24–31.

    [10] [10] Zhu X Y, Li Y, Zhang Q, et al. Oil film classification using deep learning-based hyperspectral remote sensing technology[J]. ISPRS Int J Geo-Inf, 2019, 8(4): 181.

    [12] [12] Ren Z L, Sun L, Zhai Q P. Improved k-means and spectral matching for hyperspectral mineral mapping[J]. Int J Appl Earth Obs Geoinformation, 2020, 91:102154.

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    Wu Jinquan, Wang Jian, Xiong Wei, Huang Kunpeng, Lin Zhaoxiang, Feng Xin. Development of online identification system for turquoise based on hyperspectral imaging technology[J]. Opto-Electronic Engineering, 2021, 48(7): 210075

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    Paper Information

    Category: Article

    Received: Mar. 17, 2021

    Accepted: --

    Published Online: Sep. 4, 2021

    The Author Email: Wu Jinquan (470461530@qq.com)

    DOI:10.12086/oee.2021.210075

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