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Nataliia Kosenko

O. M. Beketov National University of Urban Economy in Kharkiv

Marshala Bazhanova str., 17

Kharkiv, 61002

Ukraine

  • O. M. Beketov National University of Urban Economy in Kharkiv

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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)), 86–95. doi: https://doi.org/10.15587/1729-4061.2021.248390
Number of pages: 10 Posted: 10 Mar 2022
Vadym Slyusar, Mykhailo Protsenko, Anton Chernukha, Vasyl Melkin, Olena Petrova, Mikhail Kravtsov, Svitlana Velma, Nataliia Kosenko, Olga Sydorenko and Maksym Sobol
Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, National University of Civil Defence of Ukraine, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine, Mykolayiv National Agrarian University, Kharkiv National Automobile and Highway University, National University of Pharmacy, O. M. Beketov National University of Urban Economy in Kharkiv, National Technical University "Kharkiv Polytechnic Institute" and National Technical University "Kharkiv Polytechnic Institute"
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Semantic segmentation of images, convolutional neural network, aerial photograph, unmanned aerial vehicle