Abstract
Subject of research: the segmentation algorithms of satellite images. Purpose of research: to compare cloud and cloud shadow segmentation algorithms. Methods and objects of research: the calculation and comparison of efficiency metrics, labeled space images (CloudSEN12), Fmask, Kappamask, Sen2cloudless, Ukis-csmask, Mobile-Unet algorithms, Sentinel mission cloud segmentation, Sen2cor scene classification, FC-CNN. Main results of research: the Precision, Recall, Accuracy, F1 metrics have been calculated for the algorithms under consideration. The best result was demonstrated by Mobile-Unet with a score of 0.888 on the F1 metric. The novelty of the obtained results lies in expanding the context of comparative analysis of previous similar studies: we add another algorithm to it (Ukis-csmask).
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