Abstract
Cloud cover is a very common noise in remote sensing images.The removal of the effects of cloud cover and the acquisition of real information from the covered area constitute an important task in image recognition and classification.In this paper,the authors have summarized the methods for removing the effects of cloud cover.A comparison of the results between homomorphic filter processing and Kriging interpolation in the same study area shows that the latter method is better than the former.
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