[1] [1] Cao Xun, Zhou Kailai, Dai Qionghai. Recent advances about computational spectral imaging[J]. Communications of The CCF, 2020, 16(9): 1114. （in Chinese）

[2] [2] Zou Cheng. Research on incoherent light crelation imaging scheme[D]. Changchun: Changchun University of Science Technology, 2017. (in Chinese)

[3] Shiyu Tan, Zhentao Liu, Enrong Li, et al. Hyperspectral compressed sensing based on prior images. Acta Optica Sinica, 35, 120-128(2015).

[4] G R Arce, D J Brady, L Carin, et al. Compressive coded aperture spectral imaging: An introduction. IEEE Signal Processing Magazine, 31, 105-115(2013).

[5] C V Correa, H Arguello, G R Arce. Snapshot colored compressive spectral imager. Journal of the Optical Society of America A, 32, 1754-1763(2015).

[6] A Parada-Mayorga, G R Arce. Colored coded aperture design in compressive spectral imaging via minimum coherence. IEEE Transactions on Computational Imaging, 3, 202-216(2017).

[7] C Fu, M L Don, G R Arce. Compressive spectral imaging via polar coded aperture. IEEE Transactions on Computational Imaging, 3, 408-420(2016).

[8] J H Shapiro. Computational ghost imaging. Physical Review A, 78, 061802(2008).

[9] Jianrong Wu, Xia Shen, Hong Yu, et al. Snapshot compresive imaging by phase modulation. Acta Optica Sinica, 34, 121-128(2014).

[10] [10] Brady D J, Gehm M E. Compressive imaging spectrometers using coded apertures [C] Proceedings of SPIEThe International Society f Optical Engineering, 2006, 6246: 62460A.

[11] A A Wagadarikar, N P Pitsianis, X Sun, et al. Video rate spectral imaging using a coded aperture snapshot spectral imager. Optics Express, 17, 6368-6388(2009).

[12] Cong Zhang, Wenlin Gong, Shensheng Han. Ghost imaging for moving targets and its application in remote sensing. Chinese Journal of Lasers, 39, 1214003(2012).

[13] B Zunwang, G Wenlin, H Shensheng. Motion de-blurring by second-order intensity-correlated imaging. Chinese Optics Letters, 14, 070301(2016).

[14] J Wu, E Li, X Shen, et al. Experimental results of the balloon-borne spectral camera based on ghost imaging via sparsity constraints. IEEE Access, 6, 68740-68748(2018).

[15] Meixuan Li, Xue Wang, Hong Wang, et al. Compressed multi-spectral ghost imaging using pu sh-broom based on superposing detected signals. Acta Optica Sinica, 49, 0711002(2020).

[16] [16] Tan Shiyu. The application research of structured compressed sensing in multispectral ghost imaging[D]. Beijing: University of Chinese Academy of Sciences, 2015: 3155. (in Chinese)