Information systems of deciphering images using aerospace technologies
DOI:
https://doi.org/10.32347/2411-4049.2024.4.135-144Keywords:
information technologies, deciphering, satellite and aerial photographs, image interpretation, spectral channels, remote methods, natural and technical complexes, infrastructure objectsAbstract
The work is devoted to solving a scientific and practical task, which consists in the development of methods, technologies and means of creating an information system for deciphering images using aerospace technologies. Modern aerospace technologies are a tool for obtaining highly accurate data on the state of the environment, natural-technical complexes and infrastructure facilities. In addition, remote sensing of the Earth (DSR) allows to quickly obtain images of the surface of the studied territory at various spatial and spectral levels, which contributes to a more detailed analysis of ecological processes, monitoring of territories, assessment of the consequences of anthropogenic activities and armed conflicts. In the conditions of the rapid development of space technologies, the application of information systems for deciphering satellite and aerial photographs is relevant. The purpose of the work is to decipher the image to obtain an official object of reliable documentary data about the area and the objects located on it. This includes the identification, analysis and interpretation of the received images for the prompt introduction of changes in the territories, assessment of the condition of infrastructure facilities, natural and man-made systems. The obtained data contribute to effective monitoring and decision-making in the areas of environmental management, environmental protection, as well as in situations related to ensuring national security.
These systems are based on methods of automatic recognition and visual analysis, which allows to significantly increase the speed and accuracy of identification of objects, changes in the environment and risk forecasting. Cosmosphere and others, opens opportunities for detailed analysis of man-made impacts, identification of ecological threat zones, monitoring of the condition of forest areas, water resources and other key components of the ecosystem.
References
Krasovsky, G.Ya., Trofymchuk, O.M., Kreta, D.L., Klymenko, V.I., Ponomarenko, I.G., & Sukhodubov, O.O. (2005). Synthesis of cartographic models of land pollution by man-made dust using space images. Ecology and resources, 12, 37-55 [in Ukrainian].
Trofymchuk, O., Kalyukh, Y., Hlebchuk, H. (2013). Mathematical and GIS-modeling of landslides in Kharkiv region of Ukraine. In Landslide Science and Practice: Spatial Analysis and Modelling (pp. 347-352). Springer, Berlin, Heidelberg.
Trofymchuk, O.M., Adamenko, O.M., & Trysnyuk, V.M. (2021). Geoinformation technologies for environmental protection of the nature reserve fund. Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine; Ivano-Frankivsk national technical University of Oil and Gas. Ivano-Frankivsk: Suprun V.P. [in Ukrainian].
Mashkov, O.A., Trysnyuk, V.M., Mamchur, Y.V., Zhukauskas, S.V., Nigorodova, S.A., & Kurylo, A.V. (2019). A new approach to the synthesis of restorative control for remotely piloted aerial vehicles for environmental monitoring. Environmental safety and balanced resource use: science and technology journal, 1(19), 69-77 [in Ukrainian].
Trуsnyuk, V.M. (2016). Environmental safety management system of natural and anthropogenically modified geosystems. Information processing systems, 12, 185-188 [in Ukrainian].
Trysnyuk, V.M., Okhariev, V.O., Trysnyuk, T.V., Zorina, O.V., Kurylo, A.V., Golovan, Y.V., Smetanin, K.V., & Radlowska, K.O. (2019). Improving the algorithm of satellite images landscape interpretation. In 18th International Conference Geoinformatics – Theoretical and Applied Aspects, Extended Abstracts.
Trysnyuk, V., Trysnyuk, T., Okhariev, V., Shumeiko, V., & Nikitin, A. (2018). Cartographic Models of Dniester River Basin Probable Flooding. Сentrul Universitar Nord Din Bala Mare, 1, 61-67.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 V.M. Maruschak, T.V. Volynets
This work is licensed under a Creative Commons Attribution 4.0 International License.
The journal «Environmental safety and natural resources» works under Creative Commons Attribution 4.0 International (CC BY 4.0).
The licensing policy is compatible with the overwhelming majority of open access and archiving policies.
