Shiming Xiang, Xuewu Fan, Na He, Zhe Bai. Review on Low Light Level Remote Sensing Imaging Technology[J]. Laser & Optoelectronics Progress, 2018, 55(2): 020009
- Laser & Optoelectronics Progress
- Vol. 55, Issue 2, 020009 (2018)
Fig. 1. (a) Visible and (b) infrared images of human hand and house lizard
![Typical vision characteristic curves of human eyes[2]](/richHtml/lop/2018/55/2/020009/img_2.jpg)
Fig. 2. Typical vision characteristic curves of human eyes[2]
Fig. 3. CCD array map of full-color remote sensing camera
Fig. 4. Three typical video frequency devices. (a) ICCD; (b) EBCCD; (c) EMCCD
Fig. 5. System diagram for testing ICCD performances
Fig. 6. Overall layout of performance test system for projector-type ICCD
Fig. 7. Effect of ICCD stitching accuracy on remote sensing images
Fig. 8. Schematic of general performance test for low light level remote sensing and simulation system
Fig. 9. Three types of couple methods comparison of low light level tube/CCD
Fig. 10. Performance comparison of the low light level night vision technology in all generations
Fig. 11. Gauss h(λ) curves in color area
Fig. 12. Effect of fuzzy inversion algorithm for dynamic image from remote sensing camera. (a) Fuzzy image; (b) clear image
Fig. 13. Schematic of remote sensing camera stray light test
Fig. 14. Schematic of 3D imaging principle of remote sensing radar
Fig. 15. Spectral distribution of underwater optical transmittance
Fig. 16. Principle diagram of γ-ray position sensitive detector with wedge array anodes
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Table 1. Noise level comparison between CCD and ICCD at room temperature
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Table 2. Vision judge rank and their signal-to-noise ratio
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Table 3. Performance of ICCD, EBCCD, and EMCCD
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Table 4. Performance parameters of line array CCD of DALSA company
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Table 5. Photon Poisson noise, thermal noise of photocathode and CCD, and CCD transfer noise in images of 1 pixel, 1000 pixels and 19×1000 pixels
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