The Journal of Light Scattering, Volume. 36, Issue 1, 86(2024)

Study on spectral similarity analysis and identification of green pigments

FAN Xinyu1, PAN Guoxiang1,2、*, HE Guiping3, XU Bo1, QIU Chengcong1, ZHOU Mengyu1, XU Minhong1, and LI Jinhua2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [1] [1] Ferrari C., Foca G., Ulrici A . Handling large datasets of hyperspectral images: Reducing data size without loss of useful information[J]. Analytica Chimica Acta, 2013, 802(Complete): 29-39.

    [2] [2] Wong K K. Development of Co-boresighted Vis-NIR-SWIR Hyperspectral Imaging Systems[C]. SPIE Sensing Technology + Applications. International Society for Optics and Photonics, 2014.

    [3] [3] Velez-Reyes M., Messinger D.W., Harms J.D., et al. A next generation field-portable goniometer system[C]. Spie Defense + Security. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 2016:98400J.

    [4] [4] Taixia W., Bo Y., Shudong W., et al. A Normalized Difference Spectral Recognition Index for Azurite Pigment[J]. Applied spectroscopy, 2020, 74(5):571-582.

    [14] [14] Bian J, Wang L, Scherer R , et al.Abnormal Detection of Electricity Consumption of User Based on Particle Swarm Optimization and Long Short Term Memory With the Attention Mechanism[J].IEEE Access, 2021, 9:47252-47265.

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    FAN Xinyu, PAN Guoxiang, HE Guiping, XU Bo, QIU Chengcong, ZHOU Mengyu, XU Minhong, LI Jinhua. Study on spectral similarity analysis and identification of green pigments[J]. The Journal of Light Scattering, 2024, 36(1): 86

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    Paper Information

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    Received: Sep. 22, 2023

    Accepted: --

    Published Online: Jul. 22, 2024

    The Author Email: Guoxiang PAN (pgxzjut@163.com)

    DOI:10.13883/j.issn1004-5929.202401011

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