[1] Dan T N, Dai L K. Spectral wavelength selection based on PLS projection analysis[J]. Spectroscopy and Spectral Analysis, 29, 351-354(2009).
[2] Chen Y L, Wang X L, Li E et al. Research and application of band selection method based on CEM[J]. Spectroscopy and Spectral Analysis, 40, 3778-3783(2020).
[4] Ye Z, Bai L, Zhan Y J. Hyperspectral image classification algorithm based on Gabor feature and locality-preserving dimensionality reduction[J]. Acta Optica Sinica, 36, 1028003(2016).
[5] Qin F P, Zhang A W, Wang S M et al. Hyperspectral band selection based on spectral clustering and inter-class separability factor[J]. Spectroscopy and Spectral Analysis, 35, 1357-1364(2015).
[6] Liu C H, Zhao C H, Zhang L Y. A new method of hyperspectral remote sensing image dimensional reduction[J]. Journal of Image and Graphics, 10, 218-222(2005).
[7] Zhang B, Gao L R[M]. Hyperspectral image classification and target detection(2011).
[8] Guo T, Hua W S, Liu X et al. Rapid hyperspectral band selection approach based on improved optimal index[J]. Laser Journal, 37, 48-50(2016).
[9] Yu X M, Zhan F B, Liao M S et al. Object-oriented feature selection algorithms based on improved SEaTH algorithms[J]. Geomatics and Information Science of Wuhan University, 37, 921-924(2012).
[10] Feng X, Xiao P F, Li Q et al. Hyperspectral image classification based on 3-D Gabor filter and support vector machines[J]. Spectroscopy and Spectral Analysis, 34, 2218-2224(2014).
[11] Yan M, Zhao H D, Li Y H et al. Multi-classification and recognition of hyperspectral remote sensing objects based on convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 021702(2019).
[12] He Y, Wang J F. Rapid nondestructive identification of wood lacquer using Raman spectroscopy based on characteristic-band-Fisher-K nearest neighbor[J]. Laser & Optoelectronics Progress, 57, 013001(2020).
[13] Bi X J, Zhou Z Y. Hyperspectral image classification algorithm based on two-channel generative adversarial network[J]. Acta Optica Sinica, 39, 1028002(2019).