Attention Mechanism Based Hyperspectral Image Dimensionality Reduction for Mold Spot Recognition in Paper Artifacts

TANG Bin; HE Yu-long; TANG Huan; LONG Zou-rong; WANG Jian-xu; TAN Bo-wen; QIN Dan; LUO Xi-ling; ZHAO Ming-fu

doi:10.3964/j.issn.1000-0593(2025)01-0246-10

Spectroscopy and Spectral Analysis, Volume. 45, Issue 1, 246(2025)

Attention Mechanism Based Hyperspectral Image Dimensionality Reduction for Mold Spot Recognition in Paper Artifacts

TANG Bin1... HE Yu-long1, TANG Huan2,*, LONG Zou-rong1, WANG Jian-xu1, TAN Bo-wen2, QIN Dan2, LUO Xi-ling1 and ZHAO Ming-fu1 |Show fewer author(s)

Author Affiliations

¹Chongqing University of Technology, Chongqing Key Laboratory of Fiber Optic Sensing and Photoelectric Detection, Chongqing 400054, China

²Key Scientific Research Base of Pest and Mold Control of Heritage Collection (Chongqing China Three Gorges Museum), National Cultural Heritage Administration, Chongqing 400060, China

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TANG Bin, HE Yu-long, TANG Huan, LONG Zou-rong, WANG Jian-xu, TAN Bo-wen, QIN Dan, LUO Xi-ling, ZHAO Ming-fu. Attention Mechanism Based Hyperspectral Image Dimensionality Reduction for Mold Spot Recognition in Paper Artifacts[J]. Spectroscopy and Spectral Analysis, 2025, 45(1): 246

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Paper Information

Received: Nov. 21, 2023

Accepted: Feb. 28, 2025

Published Online: Feb. 28, 2025

The Author Email: Huan TANG (wangjianxu@cqut.edu.cn)

DOI:10.3964/j.issn.1000-0593(2025)01-0246-10

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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