UAV Remote Sensing Image Dehazing Algorithm Based on the Dark-Channel
UAV aerial photography, mapping and other technologies, are being more and more widely used for their specific advantages. But in some areas, more fog or haze days severely degrade the images because of weather conditions or atmospheric pollution or other factors. For this problem, proposes the UAV remote sensing image dehazing algorithm based on the dark-channel. First, by compared the UAV remote sensing image with the general scene image, summarizes the main features of the UAV remote sensing image. Then, according to these features and combining the advantages of these algorithms, gets the methods of computing the airlight orientation, airlight magnitude and global transmission. The results show that, the proposed algorithm can achieve nice effect on multiple indicators. It means that our algo-rithm is effective and feasible.
NETL
NSTL
万方数据
维普
