
Hybrid AI Clears Clouds for Satellite Imagery
SenseNet, a new hybrid AI system, removes clouds and haze from satellite images using a coyote-fox optimization algorithm. It outperforms prior methods by boosting signal-to-noise ratio over 2 dB, enabling clearer earth observation. This advances monitoring of climate, crops, and urban development in cloudy regions.

