Building a transport network model using satellite images
Taurida Journal of Computer Science Theory and Mathematics, no. 2 (2020), pp. 7-18
Voir la notice de l'article provenant de la source Math-Net.Ru
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.
@article{TVIM_2020_2_a0,
author = {M. G. Kozlova and M. S. Germanchuk},
title = {Building a transport network model using satellite images},
journal = {Taurida Journal of Computer Science Theory and Mathematics},
pages = {7--18},
publisher = {mathdoc},
number = {2},
year = {2020},
language = {en},
url = {http://geodesic.mathdoc.fr/item/TVIM_2020_2_a0/}
}
TY - JOUR AU - M. G. Kozlova AU - M. S. Germanchuk TI - Building a transport network model using satellite images JO - Taurida Journal of Computer Science Theory and Mathematics PY - 2020 SP - 7 EP - 18 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TVIM_2020_2_a0/ LA - en ID - TVIM_2020_2_a0 ER -
M. G. Kozlova; M. S. Germanchuk. Building a transport network model using satellite images. Taurida Journal of Computer Science Theory and Mathematics, no. 2 (2020), pp. 7-18. http://geodesic.mathdoc.fr/item/TVIM_2020_2_a0/