• Spectroscopy and Spectral Analysis
  • Vol. 44, Issue 11, 3095 (2024)
WENG Shi-zhuang, PAN Mei-jing, TAN Yu-jian, ZHANG Qiao-qiao, and ZHENG Ling*
Author Affiliations
  • Anhui University,National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Hefei 230601, China
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    DOI: 10.3964/j.issn.1000-0593(2024)11-3095-06 Cite this Article
    WENG Shi-zhuang, PAN Mei-jing, TAN Yu-jian, ZHANG Qiao-qiao, ZHENG Ling. Prediction of Soluble Solid Content in Apple Using Image Spectral Super-Resolution[J]. Spectroscopy and Spectral Analysis, 2024, 44(11): 3095 Copy Citation Text show less
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    [4] Sharma N, Hefeeda M. Hyperspectral Reconstruction from RGB Images for Vein Visualization. Proceedings of the 11th ACMMultimedia Systems Conference, 2020: 77.

    [7] Shi Z, Chen C, Xiong Z, et al. HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Iamges. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018: 939.

    [8] Zhao Y, Po L M, Yan Q, et al. Hierarchical Regression Network for Spectral Reconstruction from RGB Images. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020: 422.

    [9] Cai Y, Lin J, Lin Z, et al. MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconsturction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022: 745.

    [11] Tian S, Liu W, Xu H. Food Research International, 2023, 170: 112988.

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    WENG Shi-zhuang, PAN Mei-jing, TAN Yu-jian, ZHANG Qiao-qiao, ZHENG Ling. Prediction of Soluble Solid Content in Apple Using Image Spectral Super-Resolution[J]. Spectroscopy and Spectral Analysis, 2024, 44(11): 3095
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