MFBTFF-Net: A Novel Multi-Frequency Brightness Temperature Feature Fusion Network for Global Lunar Surface Oxides Abundance Estimation with Chang'e-2 Lunar Microwave Sounder Data
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING（2025）
Key words
Moon,Artificial intelligence,Reflectivity,Orbits,Minerals,Geologic measurements,Frequency measurement,Extraterrestrial measurements,Deep learning,Data models,Brightness temperature,Chang'e-2 lunar microwave sounder (CELMS),deep neural network (NN),lunar oxides abundance
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