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中国画矿物颜料朱砂和石黄的光谱混合模型
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  • 英文篇名:Spectral Mixing Model of Mineral Pigments on Chinese Paintings—Take Vermilion and Stone Yellow for Example
  • 作者:赵恒谦 ; 赵学胜 ; 刘晓敏
  • 英文作者:ZHAO Heng-qian;ZHAO Xue-sheng;LIU Xiao-min;College of Geoscience and Surveying Engineering,China University of Mining and Technology;
  • 关键词:中国画 ; 矿物颜料 ; 光谱混合模型 ; 比值导数法 ; 定量分析
  • 英文关键词:Chinese painting;;mineral pigments;;spectral mixing model;;derivative of ratio spectroscopy;;quantitative analysis
  • 中文刊名:KXJS
  • 英文刊名:Science Technology and Engineering
  • 机构:中国矿业大学(北京)地球科学与测绘工程学院;
  • 出版日期:2018-07-18
  • 出版单位:科学技术与工程
  • 年:2018
  • 期:v.18;No.453
  • 基金:国家自然科学基金(41701488);; 北京市优秀人才培养资助青年骨干个人项目(2017000020124G157)资助
  • 语种:中文;
  • 页:KXJS201820002
  • 页数:6
  • CN:20
  • ISSN:11-4688/T
  • 分类号:11-16
摘要
高光谱技术是一种新型的无损观测手段,已开始被用于中国古画颜料的鉴别与分析,但古画中混合颜料的定量分析仍然是一个难题。针对中国古画中较常见的矿物颜料混合现象,以朱砂、石黄两种典型的矿物颜料为例,精确配比并严格控制实验条件获取混合矿物颜料样本及其光谱,对实验数据分别进行全波段光谱解混和单波段光谱解混,探讨线性光谱混合模型对于朱砂和石黄矿物颜料混合样本光谱的适用性。实验结果表明,朱砂、石黄两种矿物颜料的光谱混合从总体上来说并不符合线性混合,但是在局部波段具有较强线性特征,利用这些波段采用比值导数光谱解混算法可以取得较高的定量分析精度。
        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 ancient paintings.Although the phenomenon of mixing pigments is very usual in Chinese ancient paintings,the quantitative analysis of the mixing pigments in the ancient paintings is still unsolved.Two typical mineral pigments,vermilion and stone yellow were taken 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.
引文
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