[1] Ghamisi P, Plaza J, Chen Y S et al. Advanced spectral classifiers for hyperspectral images: a review[J]. IEEE Geoscience and Remote Sensing Magazine, 5, 8-32(2017).

[2] Melgani F, Bruzzone L. Classification of hyperspectral remote sensing images with support vector machines[J]. IEEE Transactions on Geoscience and Remote Sensing, 42, 1778-1790(2004).

[3] Haut J M, Paoletti M E. Cloud implementation of multinomial logistic regression for UAV hyperspectral images[J]. IEEE Journal on Miniaturization for Air and Space Systems, 1, 163-171(2020).

[4] Chen Y S, Lin Z H, Zhao X et al. Deep learning-based classification of hyperspectral data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 2094-2107(2014).

[5] Wright J, Yang A Y, Ganesh A et al. Robust face recognition via sparse representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, 210-227(2009).

[6] Chen Y, Nasrabadi N M, Tran T D. Hyperspectral image classification using dictionary-based sparse representation[J]. IEEE Transactions on Geoscience and Remote Sensing, 49, 3973-3985(2011).

[7] Zhang H Y, Li J Y, Huang Y C et al. A nonlocal weighted joint sparse representation classification method for hyperspectral imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 2056-2065(2014).

[8] Ji L, Zhang X, Zhang L M et al. Hyperspectral image classification algorithm based on space-spectral weighted nearest neighbor[J]. Laser & Optoelectronics Progress, 57, 061013(2020).

[9] Li J X, Dong A G, Shen Y D et al. Hyperspectral image classification algorithm based on joint sparse representation of neighborhood similarity[J]. Laser & Optoelectronics Progress, 54, 122803(2017).

[10] Chen S X, Wang X X. Joint sparse representation hyperspectral image classification based on spatial preprocessing[J]. Systems Engineering and Electronics, 43, 2422-2429(2021).

[11] Li F Y, Huo H T, Li J et al. Hyperspectral image classification via multiple-feature-based improved sparse representation[J]. Acta Optica Sinica, 39, 0528004(2019).

[12] Fang L Y, Li S T, Kang X D et al. Spectral-spatial classification of hyperspectral images with a superpixel-based discriminative sparse model[J]. IEEE Transactions on Geoscience and Remote Sensing, 53, 4186-4201(2015).

[13] Long Y, Li H C. Hyperspectral image classification by sparse representation with nonlocal adaptive dictionary[C], 1721-1724(2015).

[14] Zhang Y S, Ma Y, Dai X B et al. Locality-constrained sparse representation for hyperspectral image classification[J]. Information Sciences, 546, 858-870(2021).

[15] Peng J T, Jiang X, Chen N et al. Local adaptive joint sparse representation for hyperspectral image classification[J]. Neurocomputing, 334, 239-248(2019).

[16] Han X L, Yu J, Xue J H et al. Hyperspectral and multispectral image fusion using optimized twin dictionaries[J]. IEEE Transactions on Image Processing, 29, 4709-4720(2020).

[17] Tropp J A, Gilbert A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 53, 4655-4666(2007).

[18] Roy S K, Krishna G, Dubey S R et al. HybridSN: exploring 3-D-2-D CNN feature hierarchy for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 17, 277-281(2020).