Improving a neural network model for semantic segmentation of images of monitored objects in aerial photographs

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dc.contributor.authorSlyusar, V. I.
dc.contributor.authorProtsenko, M.
dc.contributor.authorChernukha, A.
dc.contributor.authorMelkin, V.
dc.contributor.authorPetrova, O.
dc.contributor.authorKravtsov, M.
dc.contributor.authorVelma, S.
dc.contributor.authorKosenko, N.
dc.contributor.authorSydorenko, O.
dc.contributor.authorSobol, M.
dc.contributor.authorСлюсар, Вадим Іванович
dc.date.accessioned2021-12-29T19:44:13Z
dc.date.available2021-12-29T19:44:13Z
dc.date.issued2021-12-29
dc.descriptionVadym Slyusar, Mykhailo Protsenko, Anton Chernukha, Vasyl Melkin, Olena Petrova, Mikhail Kravtsov, Svitlana Velma, Nataliia Kosenko, Olga Sydorenko, Maksym Sobol. Improving a neural network model for semantic segmentation of images of monitored objects in aerial photographs.// Eastern-European Journal of Enterprise Technologies.- № 6/2 (114). – 2021. - Pp. 86 – 95. DOI: 10.15587/1729-4061.2021.248390.uk_UA
dc.identifier.doi10.15587/1729-4061.2021.248390
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/11393
dc.subjectsemantic segmentation of imagesuk_UA
dc.subjectconvolutional neural networkuk_UA
dc.subjectaerial photographuk_UA
dc.subjectunmanned aerial vehicleuk_UA
dc.titleImproving a neural network model for semantic segmentation of images of monitored objects in aerial photographsuk_UA
dc.typeArticleuk_UA
local.department3.3 Кафедра інформаційних систем та технологійuk_UA
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