doi: 10.17586/2226-1494-2022-22-4-691-698


Karin S.A., Karin A.I.
A method for improving the efficiency of integrated processing of Earth remote sensing data in solving problems of spatial objects monitoring

S. A. Karin, A. I. Karin


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Karin S.A., Karin A.I. A method for improving the efficiency of integrated processing of Earth remote sensing data in solving problems of spatial objects monitoring. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2022, vol. 22, no. 4, pp. 691–698 (in Russian). doi: 10.17586/2226-1494-2022-22-4-691-698


Abstract
 A method is proposed for improving the efficiency of the system for complex processing of data obtained by remote sensing of the Earth in conditions of limited resources in solving problems of spatial objects monitoring. The efficiency of the system functioning is increased through the rational allocating its resources according to the tasks to be solved, taking into account the priority solution of those that have a higher value of relative importance coefficient. It is also proposed to improve the efficiency of solving each of the tasks on the basis of exclusion from the work plans for solving those resources that are overloaded with other tasks, but at the same time make an insignificant contribution to the formation of an integral result. The simulation results show that the use of the proposed method for improving the efficiency of the system functioning for complex processing of Earth remote sensing data in conditions of limited resources, when solving problems of monitoring spatial objects, makes it possible to ensure the required quality of managerial decisions, especially in conditions of high dynamism of changing the monitoring objects characteristics.

Keywords: complex processing, earth remote sensing data, complex processing resources, single technological cycle of remote sensing data processing

References
  1. Kopytko V.K., Sheptura V.N. Problems of building a unified information space of the Armed Forces of the Russian Federation and possible ways to solve them. Military Thought, 2011, no. 1, pp. 16–26. (in Russian)
  2. Sevastiyanov N.N., Branets V.N., Panchenko V.A., Kazinskiy N.V., Kondranin T.V., Negodyayev S.S. Advanced approaches to Earth observation small satellite development. Proceedings of MIPT, 2009, vol. 1, no. 3, pp. 14–22. (in Russian)
  3. Makridenko L.A., Volkov S.N., Khodnenko V.P., Zolotoy S.A. Conceptual problems on creation and application of small spacecraft. Electromechanical matters. VNIIEM studies, 2010, vol. 114, no. 1, pp. 15–26. (in Russian)
  4. Karin S.A. Developing a domain-specific ontology in spatial data processing systems. Information and Control Systems, 2014, no. 4, pp. 78–84. (in Russian)
  5. Karin S., Dudin E. Methods for creating distributed systems of geospatial data collection, storage, and search.Information and Space, 2014, no. 3, pp. 48–53. (in Russian)
  6. Karin S.A. Integration in the single information space of heterogeneous geospatial data. Information and Control Systems, 2012, no. 2, pp. 89–94. (in Russian)
  7. Talalaev A.A. Parallel-pipeline computations for data flows processing. Journal of Information Technologies and Computing Systems, 2011, no. 1, pp. 8–13. (in Russian)
  8. Fralenko V., Agronik A. Tools, methods and algorithms for the efficient parallelization of computational loading in heterogeneous environments. Program Systems: Theory and Applications, 2015, vol. 6, no. 3(26), pp. 73–92. (in Russian). https://doi.org/10.25209/2079-3316-2015-6-3-73-92
  9. Karin S.A., Berezhnoi I.V. Approaches to creating a promising system for comprehensive monitoring of heterogeneous information resources with a geospatial component. Natural and Technical Sciences, 2016, no. 6, pp. 138–140. (in Russian)
  10. Karin S.A., Berezhnoi I.V. Data processing technology in network-centric systems for collecting, processing and analyzing heterogeneous geospatial information. Natural and Technical Sciences, 2016, no. 6, pp. 141–143. (in Russian)
  11. Karin S.A. Operational and temporal model of complex geospatial data processing systems with insufficient resources. Information and Control Systems, 2017, no. 2, pp. 51–57. (in Russian). https://doi.org/10.15217/issnl684-8853.2017.2.51
  12. Karin A.I., Karin S.A., Oktyabrskiy V.V. Models of adaptive control systems of complex geospatial data processing in solving problems of monitoring geographically distributed objects. Proceedings of the Military Space academy named after A.F. Mozhaisky, 2019, no. 671, pp. 314–325. (in Russian)
  13. Belousov S.M. Mathematical model of a multi-threaded queuing system managed by a resource scheduler. Vestnik NSU. Series: Information Technologies, 2006, vol. 4, no. 1, pp. 14–26. (in Russian)
  14. Alferov A.V., Karin A.I., Karin S.A., Oktyabrskiy V.V. Method for adaptive prioritization of information and calculation tasks in monitoring systems for potentially dangerous natural and man-made processes under resource constraints. Proceedings of the Military Space academy named after A.F. Mozhaisky, 2021, no. 676, pp. 95–104. (in Russian)
  15. Karin S.A. Software package for processing geospatial data in typical geographically distributed secure automated systems for collecting and processing heterogeneous information (DynamicGIS). Certificate of the computer program official registration RU2014618310, 2014. (in Russian)
  16. Karin S.A. Software library for forming dynamic queues for processing heterogeneous data in typical geographically distributed secure automated systems for collecting and processing heterogeneous information (DynamicQueue). Certificate of the computer program official registration RU2014618196, 2014. (in Russian)


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