A methodology of retrieving volume emission rate from 630.0 nm airglow emission intensity by combing the technologies of Abel inversion and deep learning

YI Duann1, Loren C Chang2, Chi-Yen Lin3, Charles Lin4 and Tiger J.Y Liu2, (1)Institute of Space Science National Central University, Jhongli, Taiwan, (2)Institute of Space Science and Engineering, National Central University, Taoyuan City, Taiwan, (3)National Central University, Institute of Space Science and Engineering, Taoyuan City, Taiwan, (4)National Cheng Kung University, Department of Earth Sciences, Tainan, Taiwan
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