Acta Optica Sinica, Volume. 38, Issue 11, 1104002(2018)
System Signal-to-Noise Ratio Analysis of Hyperspectral Imaging Chain Model Based on Electron Multiplication
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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. 9. Imaging effects of the color target at different electron multiplication gains
Table 1. Maximum integration time at different pixel resolutions
View tableTable 1. Maximum integration time at different pixel resolutions
Pixel resolution (Dataset) /m 10 9 8 7 6 5 4 3 2 1 Integration time (Salinas) /ms 1.38 1.24 1.11 0.96 0.83 0.69 0.55 0.41 0.28 0.14
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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
Paper Information
Category: Detectors
Received: May. 14, 2018
Accepted: Jul. 12, 2018
Published Online: May. 9, 2019
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