Fog Detection

Fog detection, particularly marine fog, is crucial for mitigating risks to maritime activities and improving weather forecasting. Research focuses on developing advanced machine learning models, including generative adversarial networks and ensemble learning methods, often trained on large, multi-modal datasets encompassing satellite imagery, meteorological observations, and numerical weather predictions, to improve accuracy and address data imbalances. These efforts aim to surpass the limitations of traditional methods by providing more accurate and timely fog detection and forecasting, leading to enhanced safety and economic benefits in maritime and coastal regions.