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.
陈姚, 王金亮, 李石华. 遥感图像中云层遮挡影响消除方法研究述评[J]. 国土资源遥感, 2006, 18(1): 61-65.
CHEN Yao, WANG Jin-Liang, LI Shi-Hua. THE METHODS FOR REMOVING THE EFFECTS OF
CLOUD COVER IN REMOTE SENSING IMAGES. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(1): 61-65.