Cloud is the common phenomenon in the obtaining and application of the visible-light remote sensing image, and these
images are usually degraded by the turbid medium (e.g., fog, cloud) in the atmosphere. This article researched the
defogging techniques of the single satellite remote sensing image on the basis of the dark channel prior and the imaging
model of the cloud images, and proposed a new approach to calculate the airlight in view of problems of asymmetric
thickness of cloud in the satellite remote sensing images and unreasonable estimation of the airlight in the existing
defogging algorithms. In my approach, cloud thickness information was added to effectively avoid the phenomenon of
'over-treatment' and 'under-treatment'. Finally, the feature of scientific and effective were validated by the successful
testament of respectively using medium-resolution and high-resolution satellite remote sensing data.