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Open AccessArticle

A Novel Spectral Matching Approach for Pigment: Spectral Subsection Identification Considering Ion Absorption Characteristics

by Yiyi Liu 1,2, Shuqiang Lyu 1,2,*, Miaole Hou 1,2, Zhenhua Gao 1,2, Wanfu Wang 3,4 and Xiao Zhou 5
1
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, No.15 Yongyuan Road, Daxing District, Beijing 102616, China
2
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, No.15 Yongyuan Road, Daxing District, Beijing 102616, China
3
The Conservation Institute of Dunhuang Academy, Dunhuang, Gansu 736200, China
4
National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites, Dunhuang Academy, Dunhuang, Gansu 736200, China
5
Chinese Academy of Cultural Heritage, Beijing 100029, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(20), 3415; https://doi.org/10.3390/rs12203415
Received: 16 September 2020 / Revised: 10 October 2020 / Accepted: 15 October 2020 / Published: 18 October 2020
Background: Hyperspectral technology has made it possible to perform completely non-invasive investigations on pigment analysis, in particular, on pigment identification. The most commonly used method of pigment identification is to compare the spectral similarity between ones of unknown target and ones in spectral library, which requires a comprehensive and complete spectral library and is based on overall shape of the spectrum. To a certain extent, it may ignore some of the key absorption characteristics of the spectrum. Methods: A novel spectral matching method was proposed based on the spectrum divided into subsections for identification according to the main ion absorption characteristics. Main works: (1) establishing a spectral library suitable for typical pigment identification of painting; (2) discussing the main components, as well as the absorption positions of the ions and functional groups contained in pigments frequently used by artists; (3) presenting a novel spectral matching algorithm carried on spectral subsections for pigment identification; (4) verifying the feasibility and applicability of proposed method by a Chinese painting and a fresco. Conclusions: The proposed method can correctly identify the main pigments or components contained in the mixed area, which is better than the traditional method and more convenient than the unmixing method, except for some limitations in detecting white and black pigments. View Full-Text
Keywords: hyperspectral technology; pigment identification; spectral subsection; ion absorption characteristic; fresco conservation hyperspectral technology; pigment identification; spectral subsection; ion absorption characteristic; fresco conservation
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MDPI and ACS Style

Liu, Y.; Lyu, S.; Hou, M.; Gao, Z.; Wang, W.; Zhou, X. A Novel Spectral Matching Approach for Pigment: Spectral Subsection Identification Considering Ion Absorption Characteristics. Remote Sens. 2020, 12, 3415.

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