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Semantic segmentation algorithms of the earth's surface pictures based on neural network methods A. A. Druki, V. G. Spitsyn, E. U. Arkalykov

By: Druki, Alexey AlexeevichContributor(s): Spitsyn, Vladimir Grigorievich | Arkalykov, Erbolat UsenovichMaterial type: ArticleArticleOther title: Алгоритмы семантической сегментации снимков земной поверхности на основе нейронных сетей [Parallel title]Subject(s): компьютерное зрение | искусственные нейронные сети | семантическая сегментация | обработка изображенийGenre/Form: статьи в журналах Online resources: Click here to access online In: Вестник Томского государственного университета. Управление, вычислительная техника и информатика № 51. С. 72-78Abstract: 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
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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

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