AUTOMATED SATELLITE AND UAV IMAGE PROCESSING SYSTEM FOR EMERGENCY DETECTION IN KAZAKHSTAN

Shvets O. Kaliev D. Györök G.
15 May 2022 Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2022 #100 Issue 9 2971 - 2987 pp.

The investigation is aimed at supporting decision-making in emergency situations using modern information technologies on the example of the Republic of Kazakhstan. The object of the study is a series of satellite or UAV images prepared for analysis. The subject of the study is the identification of emergency situations using an image from satellite or UAV. The purpose of the work is to develop algorithms for processing images obtained as a result of images from a satellite or UAV, providing a solution to the problems of machine vision to detect emergency situations. The following tasks had been solved to achieve this goal: researched image recognition technologies for identifying emergency situations; methods and models for detecting an object by external signs are selected; algorithms for preprocessing images have been developed; a software package for image recognition was created to detect emergency situations using the C# programming environment. Research methods are based on the principles of automation and control, system analysis methodology, theory of mathematical modeling, digital image processing, pattern recognition, discrete transformations, modeling using specialized data and image processing packages. A promising direction in solving the research problem for identifying emergencies using satellite or UAV images is the development of a machine vision system, the final product of which is not the image itself, but the parameters of the controlled process. Thus, for any particular case, it is possible to create a machine vision system that far exceeds the capabilities of the human eye, and sometimes even the human as an image analyzer. The creation of a software and hardware complex for processing images from a satellite or a UAV makes it possible to solve the problem of identifying emergencies in vast areas in a relatively short period of time, which can ensure a quick response of the relevant services.

Automation , Ecological Monitoring , Emergency Situation , Fuzzy Logic , Image Processing

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East-Kazakhstan Technical University, Department of Information Technology and Intelligent System, Kazakhstan
Obuda University, Alba Regia Technical Faculty of Engineering, Hungary

East-Kazakhstan Technical University
Obuda University

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