Spectroscopy and Spectral Analysis, Volume. 45, Issue 8, 2364(2025)

Hyperspectral Image Classification of Pigments Based on Multiscale Spatial-Spectral Feature Extraction

TANG Bin1, LUO Xi-ling1, WANG Jian-xu1, FAN Wen-qi2、*, SUN Yu-yu1, LIU Jia-lu2, TANG Huan2, ZHAO Ya3, and ZHONG Nian-bing1
Author Affiliations
  • 1Chongqing University of Technology Key Laboratory of Optical Fiber Sensing and Photoelectric Detection in Chongqing, Chongqing 400054, China
  • 2Key Scientific Research Base of Pest and Mold Control of Heritage Collection (Chongqing China Three Gorges Museum), State Administration of Cultural Heritage, Chongqing 400060, China
  • 3School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
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    [14] [14] Wang Z, Chen J,Hoi S C H. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021,43(10):3365.

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    [17] [17] Roy S K, Krishna G, Dubey S R,et al. IEEE Geoscience and Remote Sensing Letters, 2020, 17(2): 277.

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    TANG Bin, LUO Xi-ling, WANG Jian-xu, FAN Wen-qi, SUN Yu-yu, LIU Jia-lu, TANG Huan, ZHAO Ya, ZHONG Nian-bing. Hyperspectral Image Classification of Pigments Based on Multiscale Spatial-Spectral Feature Extraction[J]. Spectroscopy and Spectral Analysis, 2025, 45(8): 2364

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    Paper Information

    Received: Oct. 21, 2024

    Accepted: Sep. 5, 2025

    Published Online: Sep. 5, 2025

    The Author Email: FAN Wen-qi (fanwenqi87@163.com)

    DOI:10.3964/j.issn.1000-0593(2025)08-2364-09

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