研究论文
Unveiling diurnal aerosol layer height variability from space using deep learning
Yulong Fan, Lin Sun, Zhihui Wang, Shulin Pang, Jing Wei
Shandong University of Science and Technology Chinese Academy of Sciences Hefei Institutes of Physical Science Anhui Institute of Optics and Fine Mechanics
来源ISPRS Journal of Photogrammetry and Remote Sensing
年份2025
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学术脉络
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物理Atmospheric aerosols and clouds
Air Quality Monitoring and Forecasting · Atmospheric chemistry and aerosols
参考文献 48
Learning representations by back-propagating errors
被引 31,713David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986
Enhanced Deep Blue aerosol retrieval algorithm: The second generation
被引 1,228N. Christina Hsu, Myeong-Jae Jeong, C. Bettenhausen · Journal of Geophysical Research Atmospheres · 2013
CALIPSO inferred most probable heights of global dust and smoke layers
被引 101Jingfeng Huang, Jianping Guo, Fu Wang · Journal of Geophysical Research Atmospheres · 2015
此处列出前 3 条
引用本文 8
Atmospheric Remote Sensing Based on Satellite Oxygen-Band Observations: A Review
被引 0Xiaotong Wu, Meng Fan, Wenzhuo He · Remote Sensing · 2026
Dust Layer Height Leads Atmospheric Boundary Layer Height by 3 hr Over the Taklimakan Desert
被引 0Xingran Li, Tian Zhou, Dongsheng Wu · Geophysical Research Letters · 2026
Continuous Diurnal–Nocturnal Observation of Atmospheric Aerosols: Mechanisms, Challenges, and the Prospects of AI Empowerment
被引 0Huizheng Che, Yu Zheng, Lei Li · 气象学报:英文版 · 2026
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