Speakers
Anna Horváth
Balázs Bámer
Description
Mirages (fata morgana) can appear for example above water bodies in our natural environment, when certain atmospheric conditions are satisfied, e.g. the water is warmer than the ambient air, creating a near-surface temperature-gradient resulting in a quick variation of the refractive index of air. The size of the visible mirage carries information on the overall difference in temperature. Extracting it requires one to have a complex deconvolution based on various environmental parameters, which poses a challenge in case of a general application. Here, we developed a machine learning based tool to extract the temperature difference information from photographs taken of mirages.
