Multiscale image segmentation using normalized cuts in image recognition on satellite images

This paper describes a method of automatic segmentation as part of the pattern recognition algorithm on satellite images. The method is based on normalized cuts, supplemented with the super pixel algorithm. Thus, multiscale segmentation is used, which significantly improves further classification. Classification is based on the use of Haralick's features, with further processing of results using a neural network.