Haze removal and image clarification dedicated to the ESA Sentinel-2 satellite: COOL_STL-2

Haze, caused by residual water vapor and micron-sized dust particles, hinders optical satellite imaging by obscuring spectral characteristics and reducing contrast. Traditional atmospheric correction methods often struggle to remove haze effectively without compromising spectral fidelity. We introduce COOL_STL-2, an advanced haze removal and atmospheric correction technology tailored for Copernicus Sentinel-2 imagery. Built within the COOL framework (Controllable Optimal Objectively Lessening/removing-haze), it leverages multidimensional electromagnetic wave equations to isolate and eliminate haze while maintaining spectral and radiometric integrity. By integrating AI-driven haze classification and quality control, COOL_STL-2 ensures robust performance across various environments. Available in basic, advanced, and professional versions, it supports applications ranging from land cover classification to precision agriculture. Adaptability to other high-resolution optical satellites enhances image clarity and usability. By advancing atmospheric correction, COOL_STL-2 demonstrates the transformative potential of AI-powered haze-free imaging for remote sensing, environmental monitoring, and air quality research.