Cloud/haze detection in airborne videos using a convolutional neural network

In airborne videos surveillance, moving object detection and target tracking are the key steps. However, under bad weather conditions, the presence of clouds and haze or even smoke coming from buildings can make the processing of these videos very challenging. Current cloud detection or classification methods only consider a single image. Moreover, the images they use are often captured by satellites or planes at high altitudes with very long …