• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 5, 1588 (2022)
De-hui LI1、*, Tai-xia WU1、1; *;, Shu-dong WANG2、2; *;, Zhe-hua LI1、1;, Yi-wei TIAN1、1;, Xiao-long FEI1、1;, Yang LIU1、1;, Yong LEI3、3;, and Guang-hua LI3、3;
Author Affiliations
  • 11. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
  • 22. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 33. The Palace Museum, Beijing 100009, China
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    DOI: 10.3964/j.issn.1000-0593(2022)05-1588-07 Cite this Article
    De-hui LI, Tai-xia WU, Shu-dong WANG, Zhe-hua LI, Yi-wei TIAN, Xiao-long FEI, Yang LIU, Yong LEI, Guang-hua LI. Hyperspectral Indices for Identification of Red Pigments Used in Cultural Relic[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1588 Copy Citation Text show less
    Spectral curves of 10 kinds of red pigments
    Fig. 1. Spectral curves of 10 kinds of red pigments
    Differential reflectivity spectral curves based on cinnabar Ⅰ as a target pigment
    Fig. 2. Differential reflectivity spectral curves based on cinnabar Ⅰ as a target pigment
    Differential reflectivity spectral curves after removing curves of pigments clearly distinguished from cinnabar Ⅰ
    Fig. 3. Differential reflectivity spectral curves after removing curves of pigments clearly distinguished from cinnabar Ⅰ
    Discrimination of 10 kinds of red pigments
    Fig. 4. Discrimination of 10 kinds of red pigments
    The selected feature wavelengths and 10 spectral curves of red pigments
    Fig. 5. The selected feature wavelengths and 10 spectral curves of red pigments
    Cinnabar pigment extracted by using VNIR-SWIR imaging spectral data(a): Part of the ancient painting; (b): Cinnabar pigment white areas extracted by CNDSI; (c): Iron oxide red pigment (white areas) extracted by INDSI; (Both have been verified by chemical analysis)
    Fig. 6. Cinnabar pigment extracted by using VNIR-SWIR imaging spectral data
    (a): Part of the ancient painting; (b): Cinnabar pigment white areas extracted by CNDSI; (c): Iron oxide red pigment (white areas) extracted by INDSI; (Both have been verified by chemical analysis)
    序号颜料主要化学成分
    1辰砂HgS (纯度为98%)
    2胭脂Mg3(Si4O10)(OH)2, ZnO
    3银朱HgS (Hg:S=5:1)
    4朱膘HgS (颗粒直径略小于朱砂矿Cinnabar Ⅱ)
    5朱砂HgS (纯度为93%)
    6赭石Fe2O3 (富含Fe2O3的块状铁矿石)
    7赭粉Fe2O3 (赭石粉末)
    8铁红Fe2O3 (纯净化合物)
    9土红Fe2O3, Al2O3
    10西洋红Br(CO3)2
    Table 1. The main chemical compositions of 10 kinds of red pigments used in this study
    指数ABC
    CNDSI10.222 80.590 41.678 7
    CNDSI20.229 70.560 41.590 3
    CNDSI30.046 40.123 90.920 6
    CNDSI40.007 30.012 21.538 9
    CNDSI50.178 20.709 61.963 0
    CNDSI60.185 20.667 71.844 3
    Table 2. Calculation results of 6 spectral indices of cinnabar Ⅰ
    序号种类指数值区分度
    1辰砂0.178 20.000 0
    2胭脂0.764 85.293 0
    3银朱0.051 70.709 6
    4朱膘0.089 41.501 6
    5朱砂0.014 30.919 9
    6赭石0.180 42.012 4
    7赭粉0.040 41.227 0
    8铁红0.006 00.966 2
    9土红0.189 82.065 2
    10西洋红0.351 32.972 0
    Table 3. Calculation results of CNDSI for 10 kinds of red pigments
    颜料种类光谱特征指数指数值最小区分度
    辰砂CNDSI=12R2381-R1256R2381+R12560.178 20.709 6
    胭脂RNDSI=12R2054-R2280R2054+R22800.239 50.724 2
    银朱VNDSI=12R981-R2241R981+R22410.048 30.934 3
    朱膘ZNDSI=12R2046-R2397R2046+R23970.028 91.157 9
    朱砂CnNDSI=12R923-R1249R923+R12490.005 71.541 8
    赭石ONDSI=12R1767-R2130R1767+R21300.007 54.065 8
    赭粉PNDSI=12R1001-R2135R1001+R21350.004 33.864 7
    铁红INDSI=12R1694-R2400R1694+R24000.010 81.070 5
    土红TNDSI=12R1264-R1596R1264+R15960.001 32.991 2
    西洋红WNDSI=12R968-R1091R968+R10910.001 91.468 5
    Table 4. Spectral characteristic indices, index values and the minimum discrimination of 10 kinds of red pigments
    De-hui LI, Tai-xia WU, Shu-dong WANG, Zhe-hua LI, Yi-wei TIAN, Xiao-long FEI, Yang LIU, Yong LEI, Guang-hua LI. Hyperspectral Indices for Identification of Red Pigments Used in Cultural Relic[J]. Spectroscopy and Spectral Analysis, 2022, 42(5): 1588
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