[1] Cavaleri T, Giovagnoli A, Nervo M. Pigments and mixtures identification by visible reflectance spectroscopy[J]. Procedia Chemistry, 8, 45-54(2013).

[2] Li W J, Wang T Y, Zhou Y et al. Terahertz non-destructive inspection of air defect within adhesive layers of multi-layer bonded structure[J]. Acta Optica Sinica, 37, 0111002(2017).

[3] Yang S S, Zhu R, Mi L et al. Application of optical coherence tomography in the detection of the mural[J]. Acta Optica Sinica, 35, 0511005(2015).

[4] Chen J, Richard C, Honeine P. Nonlinear unmixing of hyperspectral data based on a linear-mixture/nonlinear-fluctuation model[J]. IEEE Transactions on Signal Processing, 61, 480-492(2013).

[5] Kubelka P. Errata: new contributions to the optics of intensely light-scattering materials. Part I[J]. Journal of the Optical Society of America, 38, 1067(1948).

[6] Zhang J, Rivard B, Sanchez-Azofeifa A. Derivative spectral unmixing of hyperspectral data applied to mixtures of lichen and rock[J]. IEEE Transactions on Geoscience and Remote Sensing, 42, 1934-1940(2004).

[7] Comon P. Independent component analysis: a new concept[J]. Signal Processing, 36, 287-314(1994).

[8] 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).

[9] Lei J S, Bu Y J. Kubelka-Munk theory and its application in color matching of mixed mineral pigments[J]. Packaging Journal, 9, 28-33(2017).

[10] Zhao H Q, Zhang L F, Wu T X et al. Research on the model of spectral unmixing for minerals based on derivative of ratio spectroscopy[J]. Spectroscopy and Spectral Analysis, 33, 172-176(2013).

[11] Wang G M, Liu Z Y. A composition analysis method of mixed pigments based on spectrum expression and independent component analysis[J]. Spectroscopy and Spectral Analysis, 35, 1682-1689(2015).

[12] Bingham E, Hyvärinen A. A fast fixed-point algorithm for independent component analysis of complex valued signals[J]. International Journal of Neural Systems, 10, 1-8(2000).

[13] Bezdek J C. Pattern recognition with fuzzy objective function algorithms[J]. Advanced Applications in Pattern Recognition, 22, 203-239(1981).

[14] Dunn J C. Well-separated clusters and optimal fuzzy partitions[J]. Journal of Cybernetics, 4, 95-104(1974).

[15] Li Z B, Wang K, Jiang Y Y. Research and survey on methods of blind source separation technology[J]. Science Technology and Engineering, 17, 141-147(2017).

[16] Wang L L, Li Z M, Ma Q L et al[J]. Non-destructive and in situ identification of pigments in wall paintings using hyperspectral technology Dunhuang Research, 2015, 122-128.

[17] Wang L Q, Dang G C, Zhao J. Nondestructive analysis and identification of pigments on colored relics by fiber optic reflectance spectroscopy[J]. Spectroscopy and Spectral Analysis, 28, 1722-1725(2008).

[18] 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).