Methods for Constructing Graphs of Transport Networks Using GIS from Remote Sensing Data
Natalia G. Martynova, Valentina A. Budarova · 2025
The article discusses the problem of automated construction of graphs of road networks based on remote sensing data and geographic information systems. An instrumental and mathematical approach to the formalization and modeling of transport networks is presented, which allows taking into account the topological and metric characteristics of road objects. Methods for identifying and classifying road segments using machine learning algorithms and geostatistical analysis are described. An analysis of the applicability of various sources of remote sensing data and their integration with geoinformation technologies is carried out. Examples of the implementation of the approach are given and the prospects for its application in the tasks of transport planning, infrastructure monitoring and automated mapping are considered. The results obtained demonstrate the effectiveness of the developed algorithms and the possibility of their use in modern intelligent systems for managing traffic flows.