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Robust discrimination method for tea varieties based on spectral transformation and high⁃order Sparsity⁃aided Hodrick⁃Prescott decomposition
更新时间：2025-05-26

    • Robust discrimination method for tea varieties based on spectral transformation and high⁃order Sparsity⁃aided Hodrick⁃Prescott decomposition

    • “In the field of qualitative analysis of visible near infrared spectra, a denoising method based on spectral transformation and high-order sparse Hodrick Prescott decomposition is proposed, which effectively improves the preprocessing accuracy of qualitative detection of tea varieties.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 5, Pages: 1465-1473(2023)
    • 作者机构：

      1.浙江工贸职业技术学院 人工智能学院， 浙江 温州 325002

      2.温州大学 计算机与人工智能学院， 浙江 温州 325002

      3.安徽农业大学 茶树生物学与资源利用国家重点实验室， 安徽 合肥 230036

      4.南京林业大学 信息科学技术学院， 南京 210037

    • DOI：10.13229/j.cnki.jdxbgxb.20230274    

      CLC： O657.3

    • Received：27 March 2023，

      Published：01 May 2023

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  • ZHAO Xiu-zhi,NING Jing-ming,XIE De-hong.Robust discrimination method for tea varieties based on spectral transformation and high⁃order Sparsity⁃aided Hodrick⁃Prescott decomposition[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(05):1465-1473. DOI： 10.13229/j.cnki.jdxbgxb.20230274.

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