Просмотр Факультет радіоелектроніки, комп’ютерних систем та інфокомунікацій (№ 5) по автору "Proskura, G."
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On classifier learning methodologies with application to compressed remote sensing images
Proskura, G.; Rubel, O.; Lukin, V. (ХАІ, 2022)Remote sensing images have found numerous applications nowadays. A traditional outcome or intermediate result of their processing is a classification map. Such maps are usually obtained from a pre-trained classifier and ... -
On classifier performance for remote sensing images compressed by different coders
Proskura, G.; Rubel, O.; Kryvenko, S.; Lukin, V. (ХАІ, 2023)The main subject of the article is the factors that determine the accuracy of the classification. One of them is the quality of the compressed image.