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The report reviewed the algorithm fuzzy c-means, performs image segmentation, give an estimate of the quality of hiswork on the criterion of Xie-Beni, contain the results of experimental studies of the algorithm in the context of solving theproblem of drawing up detailed two-dimensional maps with the use of unmanned aerial vehicles. According to the resultsof the experiment concluded that the possibility of applying the algorithm in problems of decoding images obtained as aresult of aerial photography. The considered algorithm can significantly break the original image into a plurality of segments(clusters) in a relatively short period of time, which is achieved by modification of the original k-means algorithm to workin a fuzzy task

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

FUZZY C-MEANS ALGORITHM FOR SEGMENTATION OF AERIAL PHOTOGRAPHY DATA OBTAINED USING UNMANNED AERIAL VEHICLE