COMPUTER VIEWING METHODS FOR ANALYSING ATMOSPHERIC TRANSPARENCY FROM IMAGES TAKEN BY UNMANNED AERIAL VEHICLES
Abstract. This paper considers the problem of automated assessment of atmospheric transparency in urban conditions based on images obtained from an unmanned aerial vehicle, using computer vision and deep learning methods. The study explores an approach focused on analyzing visual signs of smoke near the horizon, where the concentration of aerosol pollution is usually most […]