Paper
8 February 2024 Study of fumigant residues on the surface of paper artefacts based on hyperspectroscopy
Lei Deng, Dan Qin, Huan Tang, Bowen Tan, Sheng Cao, Binbin Luo, Decao Wu, Mingfu Zhao
Author Affiliations +
Proceedings Volume 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023); 130660O (2024) https://doi.org/10.1117/12.3025165
Event: 2023 International Conference on Optoelectronic Materials and Devices (COMD 2023), 2023, Chongqing, China
Abstract
Paper cultural relics are important carriers of splendid history and culture, and have important historical research value. As paper is mainly rich in cellulose, starch and protein, paper cultural relics are prone to mould, insects and other microorganisms in the process of long-term preservation, leading to corrosion, deterioration and even destruction of cultural relics. Fumigation method is currently more widely used in a rapid means of control of cultural relics of mould and mildew, fumigant residue detection is the establishment of a set of scientific fumigation method in an indispensable part. In this paper, for the surface of paper cultural relics there are fumigant residues and no residues of spectral characteristics of the variability, based on the characteristics of spectral nondestructive testing, using BP neural network algorithm, SVM algorithm, KNN algorithm, 1D-CNN algorithm were established to establish discriminatory models, according to the different models of the discrimination accuracy of the model performance assessment, select the optimal modelling method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lei Deng, Dan Qin, Huan Tang, Bowen Tan, Sheng Cao, Binbin Luo, Decao Wu, and Mingfu Zhao "Study of fumigant residues on the surface of paper artefacts based on hyperspectroscopy", Proc. SPIE 13066, International Conference on Optoelectronic Materials and Devices (ICOMD 2023), 130660O (8 February 2024); https://doi.org/10.1117/12.3025165
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KEYWORDS
Data modeling

Evolutionary algorithms

Performance modeling

Neural networks

Principal component analysis

Data processing

Spectral data processing

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