Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2359-2363, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2359-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2359-2363, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2359-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

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

H. Zhao1, Y. Hao1, X. Liu1, M. Hou2, and X. Zhao1 H. Zhao et al.
  • 1College of Geoscience and Surveying Engineering, China University of Mining and Technology Beijing, Beijing, 100083, China
  • 2Beijing University of Civil Engineering and Architecture, Beijing 100044, China

Keywords: Chinese Historical Paintings, Mineral Pigments, Spectral Mixing Model, Derivative of Ratio Spectroscopy, Quantitative Analysis

Abstract. 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.