Semiconductor Physics, Quantum Electronics & Optoelectronics, 26 (1), P. 105-113 (2023).
DOI: https://doi.org/10.15407/spqeo26.01.105
References
1. Kupchenko L.F., Karlov V.D., Rybiak A.S. et al. A๑tive electro-optical system of targets detection with dynamic spectral processing of optical radiation. SPQEO. 2021. 24, No 2. P. 218226. https://doi.org/10.15407/spqeo24.01.218 .
2. McManamon P.F. Review of ladar: A historic, yet emerging, sensor technology with rich phenomenology. Opt. Eng. 2012. 51, No 6. P. 060901. https://doi.org/10.1117/1.OE.51.6.060901 .
3. Steinvall O. Active spectral imaging and mapping. Adv. Opt. Techn. 2014. 3, No 2. P. 161178. https://doi.org/10.1515/aot-2013-0064 .
4. Johnson B., Joseph R., Nischan M. et al. A compact, active hyperspectral imaging system for the detection of concealed targets. Proc. SPIE. 1999. 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV. https://doi.org/10.1117/12.357002 .
5. Manninen A., Kaariainen T., Parviainen T. et al. Long distance active hyperspectral sensing using high-power near-infrared supercontinuum light source. Opt. Exp. 2014. 22, Issue 6. P. 71727177. https://doi.org/10.1364/OE.22.007172 .
6. Liu Y., Tao Z., Zhang J. et al. Deep-learning-based active hyperspectral imaging classification method illuminated by the supercontinuum laser. Appl. Sci. 2020. 10, No 9. P. 3088. https://doi.org/10.3390/app10093088 .
7. Guo Z., Liu Y., Zheng X., Yin K. Active hyperspectral imaging with a supercontinuum laser source in the dark. Chin. Phys. B. 2019. 28, No 3. P. 034206. https://doi.org/10.1088/1674-1056/28/3/034206 .
8. Hempler N., Nicholls J., Malcolm G. Active hyperspectral sensing and imaging for remote spectroscopy applications. Laser Focus World. 2013. 49, No 11. https://www.laserfocusworld.com/test-measurement/spectroscopy/article/16556842/spectral-imaging-active-hyperspectral-sensing-and-imaging-for-remote-spectroscopy-applications .
9. El Fakir C., Poffo L., Billiot B. et al. Active hyperspectral mid-infrared imaging on widely tunable QCL laser. 2019 21st Int. Conf. on Transparent Optical Networks (ICTON), Angers, France, 2019. P. 14. https://doi.org/10.1109/ICTON.2019.8840448 .
10. El Fakir C., Hjeij M., Le Page R. et al. Active hyperspectral mid-infrared imaging based on a widely tunable quantum cascade laser for early detection of plant water stress. Opt. Eng. SPIE. 2021. 60, No 2. P. 023106. https://doi.org/10.1117/1.OE.60.2.023106 .
11. Kupchenko L.F., Goorin O.A., Karlov V.D. et al. Active electro-optical system with dynamic spectral processing of optical radiation. 2019 IEEE 8th Int. Conf. on Advanced Optoelectronics and Lasers (CAOL), Sozopol, Bulgaria, 2019. P. 489492. https://doi.org/10.1109/CAOL46282.2019.9019458 .
12. Kupchenko L.F., Rybiak A.S., Ponomar ภ.V. Compensation method for atmospheric attenuation of laser radiation in active electro-optical systems with dynamic spectral processing of optical signals. Semiconductor Physics, Quantum Electronics and Optoelectronics. 2022. 25, No 2. P. 211218. https://doi.org/10.15407/spqeo25.02.211 .
13. Manolakis D. Marden D., Shaw G.A. Hyperspectral image processing for automatic target detection applications. Lincoln Laboratory Journal. 2003. 14, No 1. P. 79113. .
14. Schott J.R. Remote Sensing the Image Chain Approach, 2nd ed. Oxford University Press, 2007. .
15. Holst G.C. Electro-Optical Imaging System Performance, 6th ed. SPIE Press Book, 2017. https://doi.org/10.1117/3.2588947 .
16. Christnacher F., Schertzer S., Metzger N. et al. Influence of gating and of the gate shape on the penetration capacity of range-gated active imaging in scattering environments. Opt. Exp. 2015. 23, Issue 26. P. 3289732908. https://doi.org/10.1364/OE.23.032897 .
17. Kupchenko L.F., Rybiak A.S., Goorin ฮ.ภ., Biesova O.V. Experimental researches of dynamic spectral processing of optical radiation in the active electro-optical system. SPQEO. 2022. 25, No 1. P. 9096. https://doi.org/10.15407/spqeo25.01.090 .
18. Colored Optical Glass and Special Glasses. Catalogue, G.T. Petrovsky (Ed.). Dom optiki, Moscow, 1999.
| |
|
|