Da Yu, Jinguo Liu, Xin He, Jiawei He, Jiayu Chen, Xiaoyang Zhang, Chang Peng. System Signal-to-Noise Ratio Analysis of Hyperspectral Imaging Chain Model Based on Electron Multiplication[J]. Acta Optica Sinica, 2018, 38(11): 1104002
- Acta Optica Sinica
- Vol. 38, Issue 11, 1104002 (2018)
Fig. 1. Imaging chain model for hyperspectral sensing
Fig. 2. SNR model of hyperspectral imaging system based on electron multiplication. (a) Electron multiplication gain is 1;(b) electron multiplication gain is larger than 1
Fig. 3. Focal surface irradiance. (a) 5 nm spectral interval; (b) 10 nm spectral interval
Fig. 4. SNR when ξ=4.5. (a) 5 nm spectral interval for back illumination; (b) 5 nm spectral interval for front illumination;(c) 10 nm spectral interval for back illumination;(d) 10 nm spectral interval for front illumination
Fig. 5. SNR when ξ=10. (a) 5 nm spectral interval for back illumination; (b) 5 nm spectral interval for front illumination;(c) 10 nm spectral interval for back illumination;(d) 10 nm spectral interval for front illumination
Fig. 6. SNR versus number of induced electrons
Fig. 7. SNR versus electron multiplication gain under weak light
Fig. 8. SNR versus electron multiplication gain under strong light
Fig. 9. Imaging effects of the color target at different electron multiplication gains
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Table 1. Maximum integration time at different pixel resolutions
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