AIBullisharXiv – CS AI · Apr 76/10
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HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data
Researchers have developed HighFM, a foundation model for analyzing high-frequency Earth observation data using over 2TB of satellite imagery to enable real-time disaster monitoring. The model adapts masked autoencoding frameworks with temporal encodings to capture short-term environmental changes and demonstrates superior performance in cloud masking and fire detection tasks.