Establishing and diagnosing models in medium-altitude UAV haze removal system

With the huge development of Unmanned Aerial Vehicle (UAV) in both military and civilian aspects, the image that shoot by UAV is very essential for the subsequent application. However, because of the bad weather, the images are always blurred, so select the appropriate model to restore the image quality is a key technology. In this paper, we proposed two forms of non-uniform multi-scattering models, and in different environment constraint condition, we simplify the models into 4 different models. And then we use the experiments to verify the different characteristics in the UAV medium-altitude imaging process. Experimental results demonstrate the superiority of the multi-scattering models over others with regard to contrast, color, and the number of SIFT.