has been cited by the following article(s):
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[1]
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A Methodology of Retrieving Volume Emission Rate from Limb-Viewed Airglow Emission Intensity by Combining the Techniques of Abel Inversion and Deep Learning
Atmosphere,
2022
DOI:10.3390/atmos14010074
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[2]
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A Methodology of Retrieving Volume Emission Rate from Limb-Viewed Airglow Emission Intensity by Combining the Techniques of Abel Inversion and Deep Learning
Atmosphere,
2022
DOI:10.3390/atmos14010074
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[3]
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Long-term Spectroscopic Observations of the Atmospheric Airglow by the Sloan Digital Sky Survey
Publications of the Astronomical Society of the Pacific,
2019
DOI:10.1088/1538-3873/aae972
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[4]
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Comparative long-time visible and shortwave infrared night illumination measurements
Applied Optics,
2019
DOI:10.1364/AO.58.009876
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[5]
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Shortwave infrared for night vision applications: illumination levels and sensor performance
Optics in Atmospheric Propagation and Adaptive Systems XVIII,
2015
DOI:10.1117/12.2193738
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