Guo-Liang TANG, Chun-Lai LI, Shi-Jie LIU, Rui XU, Yan XU, Li-Yin YUAN, Jian-Yu WANG. Noise model analysis and verification of short wave hyperspectral imaging system based on S-matrix coding[J]. Journal of Infrared and Millimeter Waves, 2021, 40(6): 847
- Journal of Infrared and Millimeter Waves
- Vol. 40, Issue 6, 847 (2021)
Fig. 1. Noise factor （H matrix and S matrix
Fig. 2. Principle of array slit imaging（a）schematic diagram of mathematical model of imaging process （b）data aliasing when array slits are encoded as s1, s2, … sn
Fig. 3. Analysis of SNR with different measurement matrices （a）The change curve of SNR with signal electron number （Ns）, （b）the relationship between SNR increment and light intensity
Fig. 4. Space imaging simulation results （a）Original image, （b）single slit - Strong light intensity, （c）array slit - Strong light intensity, （d）single slit- Normal light intensity, （e）single slit- Normal light intensity, （f）single slit - Weak light intensity, （g）array slit - Weak light intensity
Fig. 5. SNR of single slit and array slit with different light intensity
Fig. 6. S-matrix coding short-wave infrared spectroscopy imaging system （a）System schematic diagram，（b）partial amplification of the detector，（c）physical drawing of the principle prototype
Fig. 7. Principle of array slit construction
Fig. 8. Imaging results of monochromatic light spectrum
Fig. 9. SNR at different light intensities （a）20% potential well, （b）10% potential well
Fig. 10. Spatial information recovery results
Fig. 11. Single slit and array slit waveband std curve
Fig. 12. Spectral information recovery effect
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Table 1. Imaging SNR and SSIM evaluation results of single slit and array slit and CASSI（100%）imaging under different light intensities
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Table 2. Single slit and array slit CASSI（100%）spectral imaging effects of different spatial points
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