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Taurida Journal of Computer Science Theory and Mathematics, 2020, Issue 2, Pages 7–18 (Mi tvim86)  
Building a transport network model using satellite images

M. G. Kozlova, M. S. Germanchuk

Taurida Academy by the V. I. Vernadsy Crimea Federal University, Vernadsky Av., 4, Simferopol, 295007, Russia
Full-text PDF (2057 kB)
Abstract: A method of constructing a transport network using a satellite image and a set of paths as input data is considered. Software has been developed for building a transport network model based on the specified input data. Examples of the program's operation on various sections of transport networks are considered. The advantages and disadvantages of the developed method are described.
Keywords: transport network, image binarization, GPX-track.
English version:

DOI: https://doi.org/10.37279/1729-3901-2020-19-2-7-18
Document Type: Article
UDC: 519.173+004.942
MSC: 68-04
Language: English
Citation: M. G. Kozlova, M. S. Germanchuk, “Building a transport network model using satellite images”, Taurida Journal of Computer Science Theory and Mathematics, 2020, no. 2, 7–18
Citation in format AMSBIB
\Bibitem{KozGer20}
\by M.~G.~Kozlova, M.~S.~Germanchuk
\paper Building a transport network model using satellite images
\jour Taurida Journal of Computer Science Theory and Mathematics
\yr 2020
\issue 2
\pages 7--18
\mathnet{http://mi.mathnet.ru/tvim86}
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