Semantic segmentation algorithms of the Earth's surface pictures based on neural network methods

Abstract

The aim of the work is to develop algorithms that solve the problem of semantic segmentation of images. A convolutional neural network with an original architecture was developed. Performing a software implementation of the algorithm, which allows to build a map of segmented objects of a different class. A comparison of the results of the proposed algorithm with existing analogues is presented.