November 28, 2025HeritageOpen Access

Hyperspectral Imaging Combined with Deep Learning for the Detection of Mold Diseases on Paper Cultural Relics

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Authors

YZYa Zhao QSQiankun Song TSTao Song

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Implication

This study demonstrates improved mold detection using hyperspectral imaging and deep learning in paper artifacts, suggesting enhanced conservation methods.

Key Points

Mold detection shows improved accuracy with a new framework integrating deep learning and hyperspectral imaging.
The use of semantic segmentation enhances mold detection capabilities in paper cultural relics significantly.
A hybrid architecture synergizing CNNs and Transformers optimizes fungal signature recognition in identified regions.
Results highlight the potential for advanced preventive conservation techniques for cultural relics exposed to mold.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/6928f113a65b730b9ea79eaf https://doi.org/10.3390/heritage8120495

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Implication

This study demonstrates improved mold detection using hyperspectral imaging and deep learning in paper artifacts, suggesting enhanced conservation methods.

Hyperspectral Imaging Combined with Deep Learning for the Detection of Mold Diseases on Paper Cultural Relics

Discussion

Member takes

Implication

Key Points

Cite This Study

Hyperspectral Imaging Combined with Deep Learning for the Detection of Mold Diseases on Paper Cultural Relics

Discussion

Member takes

Implication

Key Points

Cite This Study

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