[1] Song Y L[J]. Dress color evolution of Qi State in Pre-Qin Dynasty Humanity World, 2019, 122-124.

[2] Liu M, Gao Y. The color of algae pattern in the Sui Dynasty of Mogao Grottoes[J]. Art and Design(Theory), 2, 120-122(2018).

[3] Wu Y X. Research on color performance of Dunhuang Mogao Grottoes murals in the Tang Dynasty[D]. Lanzhou: Northwest Normal University, 1-5(2017).

[4] Hui N, Wang L, Wang C Y et al[J]. The applications of the scanning electron microscope and energy dispersive spectrometer in the analyses of the color-painted cultural relics Relics and Museology, 2015, 99-103.

[5] Zhang S X, Fang X Y, Fu Q L et al. Preliminary study of the pigments on an acrobat figurine excavated from Emperor Qinshihuang's Mausoleum[J]. Sciences of Conservation and Archaeology, 31, 115-121(2019).

[6] Zhou G X[J]. X-ray diffraction analysis to the pigment of Maijishan Grottoes' murals and sculptures Archaeology, 1991, 744-755,776.

[7] Guo R, Zhao F Y, Feng J et al. Study of yellow pigments used for Tang Dynasty mural paintings in Xi'an[J]. Sciences of Conservation and Archaeology, 31, 62-71(2019).

[8] Prati S, Joseph E, Sciutto G et al. New advances in the application of FTIR microscopy and spectroscopy for the characterization of artistic materials[J]. Accounts of Chemical Research, 43, 792-801(2010). http://www.ncbi.nlm.nih.gov/pubmed/20476733

[9] Zhou Z B, Yang J, Gao Y M. Analysis of a blue pigment unearthed from the Kizil Grottoes[J]. Sciences of Conservation and Archaeology, 31, 109-115(2019).

[10] Papliaka Z E, Philippidis A, Siozos P et al. A multi-technique approach, based on mobile/portable laser instruments, for the in situ pigment characterization of stone sculptures on the island of Crete dating from Venetian and Ottoman period[J]. Heritage Science, 4, 1-18(2016). http://dx.doi.org/10.1186/s40494-016-0085-2

[11] Shui B W, Su B M, Yu Z R et al[J]. Analysis of mimetite-group minerals in mural paintings from the Wei and Jin Dynasty tombs of Jiayuguan Dunhuang Research, 2020, 133-140.

[12] Li J, Wan X, Bu Y et al. In situ identification of pigment composition and particle size on wall paintings using visible spectroscopy as a noninvasive measurement method[J]. Applied Spectroscopy, 70, 1900-1909(2016). http://www.ncbi.nlm.nih.gov/pubmed/27461462

[13] Bu Y J, Wan X X, Li J F et al. Automatic pigment recognition of Dunhuang murals based on feature extraction of visible reflectance spectrum[J]. Sciences of Conservation and Archaeology, 29, 45-51(2017).

[14] Zhao X, Wang L Q. Progress in the analysis and conservation of cultural relics and artworks with fiber optic reflectance spectroscopy[J]. Spectroscopy and Spectral Analysis, 37, 21-26(2017).

[15] Zhang W Y, Su B M, Yin Y P et al[J]. In situ nondestructive analysis of the mural pigments in the Northern Liang caves at the Tiantishan Grottoes Dunhuang Research, 2019, 128-140.

[16] Fonseca B, Schmidt P C, Ganio M et al. Seeing red: towards an improved protocol for the identification of madder- and cochineal-based pigments by fiber optics reflectance spectroscopy (FORS)[J]. Heritage Science, 7, 1-15(2019).

[17] Cavaleri T, Giovagnoli A, Nervo M. Pigments and mixtures identification by visible reflectance spectroscopy[J]. Procedia Chemistry, 8, 45-54(2013). http://www.sciencedirect.com/science/article/pii/S1876619613000089

[18] Liang H D, Lucian A, Lange R et al. Remote spectral imaging with simultaneous extraction of 3D topography for historical wall paintings[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 95, 13-22(2014). http://www.sciencedirect.com/science/article/pii/S0924271614001336

[19] Wang K, Wang H Q, Yin Y et al. Pigment spectral matching recognition method based on adaptive edit distance[J]. Laser & Optoelectronics Progress, 55, 113004(2018).

[20] Rohani N, Salvant J, Bahaadini S et al. Automatic pigment identification on Roman Egyptian paintings by using sparse modeling of hyperspectral images[C]//24th European Signal Processing Conference (EUSIPCO), August 29-September 2, 2016, Bud, 2111-2115(2016).

[21] Wang W C, Wang H Q, Wang K et al. An identification method of spectral information divergence pigment based on statistical manifold[J]. Laser & Optoelectronics Progress, 55, 013002(2018).