№2 (2024) Koryukin E.A., Bobakov V.S., Butorovа А.S., Sergeev A.P. УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2024-2-54-63 Keywords: neural network; urbanized environment; geoinformation system; dataset; object class; image segmentation; library; artificial intelligent; object recognition; mask r-cnn. Section: Methodological and technological support for data collection … Continue reading →
DOI:10.47148/1609-364X-2024-2 Study of the structure of land in the 18th–21st centuries using GIS technology methods in Kenozersky national parkKozykin A.V., Nakvasina E.N. Analysis of relation between seismicity and features of potential fields within the Lena-Anabar trough: experience of usage modern GIS-technologiesKulyandina … Continue reading →
№2 (2023) https://doi.org/10.47148/1609-364X-2023-2-49-56 Vagizov M.R., Vitlev K.A., Sokolov A.G., Popov A.I., Samsonov V.A., Makarov K.A. Key words: forest, information technologies, artificial intelligence, algorithm Section: Geoecology
№2 (2019) Koshel S.M.,Entin A.L.,Samsonov T.E. Section: Modeling geo objects and geo-processes Keywords: digital elevation model; hydrological analysis; pre-processing; closed depressions; depression treatment; filling.
№2 (2019) Gordeev N.A.,Molchanov A.B. Section: Modeling geo objects and geo-processes Keywords: structural geomorphological method, neotectonics, computer vision, OpenCV, Python, skeletonization.
Capabilities of ArcGIS tools for structure analysis of power grids.Karpachevsky A.M., Novakovsky B.A. … » The paper deals with the basic concepts of network analysis in relation to electric networks, as well as the possibility of modules and geographic information … Continue reading →
