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

Slyusar, V. I.Protsenko, M.Chernukha, A.Melkin, V.Petrova, O.Kravtsov, M.Velma, S.Kosenko, N.Sydorenko, O.Sobol, M.Слюсар, Вадим Іванович2021-12-292021-12-292021-12-29https://dspace.pdau.edu.ua/handle/123456789/11393Vadym 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.semantic segmentation of imagesconvolutional neural networkaerial photographunmanned aerial vehicleImproving a neural network model for semantic segmentation of images of monitored objects in aerial photographsArticle10.15587/1729-4061.2021.248390