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Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza

Ruibin Bai Jian Yang Feng Xiong Hui Wang Meiqi Luan Junhui Zhou Xiufu Wan Zihan Zhao Xiaobo Zhang Chu Zhang

中医药科学（英文）2025，Vol.3Issue(3)：250-258,9.
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中医药科学（英文）2025，Vol.3Issue(3)：250-258,9.DOI:10.1097/st9.0000000000000079

Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza

Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza

Ruibin Bai 1Jian Yang 1Feng Xiong 2Hui Wang 2Meiqi Luan 2Junhui Zhou 1Xiufu Wan 2Zihan Zhao 1Xiaobo Zhang 2Chu Zhang3

作者信息

  • 1. State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs,National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences,Beijing,China||Evaluation and Research Center of Daodi Herbs of Jiangxi Province,Nanchang,China
  • 2. State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs,National Resource Center for Chinese Materia Medica,China Academy of Chinese Medical Sciences,Beijing,China
  • 3. School of Information Engineering,Huzhou University,Huzhou,China
  • 折叠

摘要

关键词

Salvia miltiorrhiza Bunge/Origin traceability/Data-level fusion/Feature-level fusion/Decision-level fusion/Transformer

Key words

Salvia miltiorrhiza Bunge/Origin traceability/Data-level fusion/Feature-level fusion/Decision-level fusion/Transformer

引用本文复制引用

Ruibin Bai,Jian Yang,Feng Xiong,Hui Wang,Meiqi Luan,Junhui Zhou,Xiufu Wan,Zihan Zhao,Xiaobo Zhang,Chu Zhang..Deep learning-based fusion of color and spectral features from hyperspectral imaging for the origin identification of Salvia miltiorrhiza[J].中医药科学（英文）,2025,3(3):250-258,9.

基金项目

This work was supported by the National Key R&D Program of China(2024YFC3506800 and 2024YFC3506805),the Scientific and Technological Innovation Project of the China Academy of Chinese Medical Sciences(CI2023E002 and CI2021B009),the Quality and Technical Service Platform for the Traditional Chinese Medicine Whole Industry Chain(2022-230-221),the China Agricultural Research System of MOF and MARA(CARS-21),and the Fundamental Research Funds for the Central Public Welfare Research Institutes(ZZ16-YQ-040 and ZZXT2023012). （2024YFC3506800 and 2024YFC3506805）

中医药科学（英文）

2836-922X

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