STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE

Hyperspectral remote sensing is a completely non-invasive technology for measurement of cultural relics, and has been successfully applied in identification and analysis of pigments of Chinese historical paintings. Although the phenomenon of mixing pigments is very usual in Chinese historical painti...

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Main Authors: H. Zhao, Y. Hao, X. Liu, M. Hou, X. Zhao
Format: Article
Language:English
Published: Copernicus Publications 2018-04-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/2359/2018/isprs-archives-XLII-3-2359-2018.pdf
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author H. Zhao
Y. Hao
X. Liu
M. Hou
X. Zhao
author_facet H. Zhao
Y. Hao
X. Liu
M. Hou
X. Zhao
author_sort H. Zhao
collection DOAJ
description Hyperspectral remote sensing is a completely non-invasive technology for measurement of cultural relics, and has been successfully applied in identification and analysis of pigments of Chinese historical paintings. Although the phenomenon of mixing pigments is very usual in Chinese historical paintings, the quantitative analysis of the mixing pigments in the ancient paintings is still unsolved. In this research, we took two typical mineral pigments, vermilion and stone yellow as example, made precisely mixed samples using these two kinds of pigments, and measured their spectra in the laboratory. For the mixing spectra, both fully constrained least square (FCLS) method and derivative of ratio spectroscopy (DRS) were performed. Experimental results showed that the mixing spectra of vermilion and stone yellow had strong nonlinear mixing characteristics, but at some bands linear unmixing could also achieve satisfactory results. DRS using strong linear bands can reach much higher accuracy than that of FCLS using full bands.
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spelling doaj.art-e90acc018ec6465e8b87198f5170ed852022-12-22T03:07:46ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-04-01XLII-32359236310.5194/isprs-archives-XLII-3-2359-2018STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLEH. Zhao0Y. Hao1X. Liu2M. Hou3X. Zhao4College of Geoscience and Surveying Engineering, China University of Mining and Technology Beijing, Beijing, 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology Beijing, Beijing, 100083, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology Beijing, Beijing, 100083, ChinaBeijing University of Civil Engineering and Architecture, Beijing 100044, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology Beijing, Beijing, 100083, ChinaHyperspectral remote sensing is a completely non-invasive technology for measurement of cultural relics, and has been successfully applied in identification and analysis of pigments of Chinese historical paintings. Although the phenomenon of mixing pigments is very usual in Chinese historical paintings, the quantitative analysis of the mixing pigments in the ancient paintings is still unsolved. In this research, we took two typical mineral pigments, vermilion and stone yellow as example, made precisely mixed samples using these two kinds of pigments, and measured their spectra in the laboratory. For the mixing spectra, both fully constrained least square (FCLS) method and derivative of ratio spectroscopy (DRS) were performed. Experimental results showed that the mixing spectra of vermilion and stone yellow had strong nonlinear mixing characteristics, but at some bands linear unmixing could also achieve satisfactory results. DRS using strong linear bands can reach much higher accuracy than that of FCLS using full bands.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/2359/2018/isprs-archives-XLII-3-2359-2018.pdf
spellingShingle H. Zhao
Y. Hao
X. Liu
M. Hou
X. Zhao
STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE
title_full STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE
title_fullStr STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE
title_full_unstemmed STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE
title_short STUDY ON THE SPECTRAL MIXING MODEL FOR MINERAL PIGMENTS BASED ON DERIVATIVE OF RATIO SPECTROSCOPY-TAKE VERMILION AND STONE YELLOW FOR EXAMPLE
title_sort study on the spectral mixing model for mineral pigments based on derivative of ratio spectroscopy take vermilion and stone yellow for example
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/2359/2018/isprs-archives-XLII-3-2359-2018.pdf
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