Remote sensing image fusion using MGA based on cloud and shadow distance model

In order to remove clouds and shadows more effectively,cloud and shadow distance model is established in this paper at first.And a novel method is proposed for detecting and distinguishing clouds and shadows to form a fusion region map based on this model.After getting the fusion region map,a new image fusion method based on MGA(multiscale geometric analysis) is proposed for removing clouds and shadows.This new image fusion method decomposes the source images and obtains the coarse and detail band parts,then fuses the different regions by using different fusion rules.Experiments show that this new image fusion method can not only remove thin clouds and shadows,but also have much better performance for thick clouds and shadows without any join edge.