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
Research on lunar oxides abundance has been spotlighted for its great significance in reconstructing the evolutionary history of the moon. In recent years, artificial intelligence technologies have been introduced to map oxides abundance on the lunar surface for their reliability and robustness. How...
Saved in:
Main Authors: | Yu Li, Zifeng Yuan, Sarah Mazhar, Zhiguo Meng, Yuanzhi Zhang, Jinsong Ping, Ferdinando Nunziata |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10824911/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating the Depth–Age Hypothesis for the Evolution of the Lunar Regolith
by: Gwendolyn D. Bart
Published: (2025-01-01) -
Application of Machine Learning Techniques to Distinguish between Mare, Cryptomare, and Light Plains in Central Lunar South Pole−Aitken Basin
by: Frank C. Chuang, et al.
Published: (2025-01-01) -
A Global Survey of Lunar Surface Thorium Anomalies Associated with Impact Basins
by: S. Nagihara
Published: (2025-01-01) -
The viscosity and processing of molten lunar regolith
by: James Bowen, et al.
Published: (2025-01-01) -
Lunar Power Sources: An Opportunity to Experiment
by: Michele Marrone, et al.
Published: (2025-01-01)