Швай, НадіяУстименко, Данило2024-03-262024-03-262023https://ekmair.ukma.edu.ua/handle/123456789/28416This work reviews the problem of reconstruction of hyperspectral images from RGB ones. The solution is proposed with a U-net model. Some experiments on the improvement of the performance are made. The model is used for the real case classification problem. Even though it did not improve the outcome of the second problem, the proper analysis of the problems faced and future solutions was made.ukhyperspectral imagesconvolutional neural networksU-netEfficientNetspectredata augmentationкурсова роботаПереведення RGB зображень у гіперспектральні за допомогою алгоритмів машинного навчанняOther