Implementing Painted Wood Species Classification With Two Neural Networks for Spectral Rectification

[1] Timar M C, Gurǎu L, Porojan M. International Journal of Conservation Science, 2012, 3(1): 11.

[2] Wang T, Jiang T, Liu K, et al. PhotoniX 3, 11(2022). https://doi.org/10.1186/s43074-022-00058-0.

[3] Zhang X, Gao J, Gan Y, et al. PhotoniX 4, 10(2023). https://doi.org/10.1186/s43074-023-00087-3.

[4] Pan X, Li K, Chen Z, et al. Forests, 2021, 12(11):1527.

[5] Pan X, Qiu J, Yang Z. Spectroscopy, 2022, 37(6): 16.

[6] Hao Y, Wang Q, Zhang S. Spectroscopy, 2021, 36(s12): 7.

[7] Yu H, Liang Y, Liang H, et al. Journal of Forestry Research, 2019, 30(6): 2379.

[8] Lazarescu C, Hart F, Pirouz Z, et al. International Wood Products Journal, 2017, 8(1): 32.

[9] Yang Z, Liu Y, Pang X, et al. BioResources, 2015, 10(4): 8505.

[10] Zhang M, Xie X, Zhang D, et al. Microwave and Optical Technology Letters, 2023, 65(5): 1117.

[12] Geng J, Shi L, Ni J, et al. PhotoniX 3, 14(2022). https://doi.org/10.1186/s43074-022-00061-5.

[13] Jiao Y, Li Z, Chen X, et al. Journal of Chemometrics, 2020, 34(11): e3306.

[14] Tong Y, Yu L, Li S, et al. ASP Transactions on Pattern Recognition and Intelligent Systems, 2021, 1(1): 32.

[15] Wilamowski B M, Yu H. IEEE Transactions on Neural Networks, 2010, 21(6): 930.

[16] Lindsay G W. Journal of Cognitive Neuroscience, 2021, 33(10): 2017.