Key Feature Analysis in Identification and Authenticity of Ziziphi Spinosae Semen by Using Hyperspectral Images Based on 1DCNN  and PLSDA  〖ST〗

ZHAO Xin; SHI Yu-na; LIU Yi-tong; JIANG Hong-zhe; CHU Xuan; ZHAO Zhi-lei; WANG Bao-jun; CHEN Han

doi:10.3964/j.issn.1000-0593(2025)03-0869-09

Spectroscopy and Spectral Analysis, Volume. 45, Issue 3, 869(2025)

Key Feature Analysis in Identification and Authenticity of Ziziphi Spinosae Semen by Using Hyperspectral Images Based on 1DCNN and PLSDA 〖ST〗

ZHAO Xin^1,2, SHI Yu-na¹, LIU Yi-tong¹, JIANG Hong-zhe³, CHU Xuan⁴, ZHAO Zhi-lei^1,2, WANG Bao-jun^1,2、*, and CHEN Han¹

Author Affiliations

¹School of Quality and Technical Supervision, Hebei University, Baoding071002, China

²National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding071002, China

³College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing210037, China

⁴College of Mechanical and Electrical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou510225, China

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References(11)

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[16] [16] Guo Z, Wang M M, Agyekum A A, et al. Journal of Food Engineering, 2020, 279: 109955.

[17] [17] Osborne B G. Near Infrared Spectroscopy in Food Analysis. Longman Scientific and Technical, 1986, 117.

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ZHAO Xin, SHI Yu-na, LIU Yi-tong, JIANG Hong-zhe, CHU Xuan, ZHAO Zhi-lei, WANG Bao-jun, CHEN Han. Key Feature Analysis in Identification and Authenticity of Ziziphi Spinosae Semen by Using Hyperspectral Images Based on 1DCNN and PLSDA 〖ST〗[J]. Spectroscopy and Spectral Analysis, 2025, 45(3): 869

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Paper Information

Received: Sep. 5, 2023

Accepted: Mar. 24, 2025

Published Online: Mar. 24, 2025

The Author Email: Bao-jun WANG (wbj498@163.com)

DOI:10.3964/j.issn.1000-0593(2025)03-0869-09

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