[1] Lu G L, Fei B W. Medical hyperspectral imaging: a review[J]. Journal of Biomedical Optics, 19, 010901(2014).

[2] Lowe A, Harrison N, French A P. Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress[J]. Plant Methods, 13, 80(2017).

[3] Su W H. Advanced machine learning in point spectroscopy, RGB- and hyperspectral-imaging for automatic discriminations of crops and weeds: a review[J]. Smart Cities, 3, 767-792(2020).

[4] Hank T B, Berger K, Bach H et al. Spaceborne imaging spectroscopy for sustainable agriculture: contributions and challenges[J]. Surveys in Geophysics, 40, 515-551(2019).

[5] Fu X P, Ying Y B. Food safety evaluation based on near infrared spectroscopy and imaging: a review[J]. Critical Reviews in Food Science and Nutrition, 56, 1913-1924(2016).

[6] Eady M. Potential for spectral imaging applications on the small farm: a review[J]. Journal of Spectral Imaging, 11(2022).

[7] Tinetti G, Encrenaz T, Coustenis A. Spectroscopy of planetary atmospheres in our galaxy[J]. The Astronomy and Astrophysics Review, 21, 63(2013).

[8] Minardi S, Harris R J, Labadie L. Astrophotonics: astronomy and modern optics[J]. The Astronomy and Astrophysics Review, 29, 1-81(2021).

[9] Niu J Y, Xie Z H, Li Y et al. Scale fusion light CNN for hyperspectral face recognition with knowledge distillation and attention mechanism[J]. Applied Intelligence, 52, 6181-6195(2022).

[10] Rao S J, Huang Y D, Cui K Y et al. Anti-spoofing face recognition using a metasurface-based snapshot hyperspectral image sensor[J]. Optica, 9, 1253-1259(2022).

[11] Hagen N A, Kudenov M W. Review of snapshot spectral imaging technologies[J]. Optical Engineering, 52, 090901(2013).

[12] Bao J, Bawendi M G. A colloidal quantum dot spectrometer[J]. Nature, 523, 67-70(2015).

[13] Yang Z, Albrow-Owen T, Cui H et al. Single-nanowire spectrometers[J]. Science, 365, 1017-1020(2019).

[14] Khorasaninejad M, Chen W T, Devlin R C et al. Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging[J]. Science, 352, 1190-1194(2016).

[15] Li T, Chen C, Xiao X J et al. Revolutionary meta-imaging: from superlens to metalens[J]. Photonics Insights, 2, R01(2023).

[16] Wang Z, Yi S, Chen A et al. Single-shot on-chip spectral sensors based on photonic crystal slabs[J]. Nature Communications, 10, 1020(2019).

[17] Xiong J A, Cai X S, Cui K Y et al. Dynamic brain spectrum acquired by a real-time ultraspectral imaging chip with reconfigurable metasurfaces[J]. Optica, 9, 461-468(2022).

[18] Xiong J, Cai X S, Cui K Y et al. One-shot ultraspectral imaging with reconfigurable metasurfaces[EB/OL]. https://arxiv.org/abs/2005.02689

[19] Yang J W, Cui K Y, Cai X S et al. Ultraspectral imaging based on metasurfaces with freeform shaped meta-atoms[J]. Laser & Photonics Reviews, 16, 2100663(2022).

[20] Donoho D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 52, 1289-1306(2006).

[21] Qaisar S, Bilal R M, Iqbal W et al. Compressive sensing: from theory to applications, a survey[J]. Journal of Communications and Networks, 15, 443-456(2013).

[22] Oliver J, Lee W, Park S et al. Improving resolution of miniature spectrometers by exploiting sparse nature of signals[J]. Optics Express, 20, 2613-2625(2012).

[23] Zhang S, Dong Y H, Fu H Y et al. A spectral reconstruction algorithm of miniature spectrometer based on sparse optimization and dictionary learning[J]. Sensors, 18, 644(2018).

[24] Aharon M, Elad M, Bruckstein A. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation[J]. IEEE Transactions on Signal Processing, 54, 4311-4322(2006).

[25] Boyd S, Parikh N, Chu E et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations and Trends in Machine Learning, 3, 1-122(2011).

[26] Yang J W, Cui K Y, Huang Y D et al. Deep-learning based on-chip rapid spectral imaging with high spatial resolution[J]. Chip, 2, 100045(2023).

[27] Qiao M, Meng Z Y, Ma J W et al. Deep learning for video compressive sensing[J]. APL Photonics, 5, 030801(2020).

[28] Yuan X. Generalized alternating projection based total variation minimization for compressive sensing[C], 2539-2543(2016).

[29] Miao X, Yuan X, Pu Y C et al. Lambda-net: reconstruct hyperspectral images from a snapshot measurement[C], 4058-4068(2020).

[30] Grieshaber D, MacKenzie R, Vörös J et al. Electrochemical biosensors - sensor principles and architectures[J]. Sensors, 8, 1400-1458(2008).

[31] Liang J, Zhou J, Tong L et al. Material based salient object detection from hyperspectral images[J]. Pattern Recognition, 76, 476-490(2018).

[32] Lone Z A, Pais A R. Object detection in hyperspectral images[J]. Digital Signal Processing, 131, 103752(2022).

[33] Fairchild M D, Rosen M R, Johnson G M. Spectral and metameric color imaging[R](2001).

[34] Yang Z Y, Albrow-Owen T, Cai W W et al. Miniaturization of optical spectrometers[J]. Science, 371, eabe0722(2021).