Semantic segmentation of satellite images of airports using convolutional neural networks
The paper is devoted to the development of an effective semantic segmentation algorithm for automation of airport infrastructure labelling in RGB satellite images. This task is addressed using algorithms based on deep convolutional artificial neural networks, as they have proven themselves in a wide...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Samara National Research University
2020-08-01
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Series: | Компьютерная оптика |
Subjects: | |
Online Access: | http://computeroptics.smr.ru/KO/PDF/KO44-4/440418.pdf |