MODELING OF THE INTERPRETATION PROBLEM BY THE RADAR RESEARCH METHOD


Dinara O. Alma Z. Gulnar A. Assem S.
15 October 2022Little Lion Scientific

Journal of Theoretical and Applied Information Technology
2022#100Issue 195639 - 5647 pp.

Georadar is a modern technological device that is able to probe, that is, to conduct non-destructive monitoring of any environment, regardless of its chemical composition and physical state. The hardware part of georadar today, in general, has reached a certain perfection and has not undergone noticeable improvements for a number of years. GPR capabilities are expanding in the software area - existing signal processing algorithms are being improved, and new technologies for analyzing and converting GPR information are being developed. The use of ground penetrating radars does not harm the environment and does not violate the ecological balance. The use of ground penetrating radars does not require additional equipment and powerful power sources. Ground penetrating radars are equally effective in the study of vertical, horizontal and inclined surfaces. Compared with other methods, georadolocation diagnostics, which is the basis of ground penetrating radars operation, is characterized by high power, as well as low energy consumption. In the far and near abroad there are various modifications of devices that have found wide commercial application. It is known, conducting field experiments is often difficult under the influence of objective and subjective external factors. For example, the accuracy of measurement instruments, random errors of personnel should be the same with the repetition of experiments, experimental conditions may affect the results of calculations, but this is not always the case in practice. Therefore, the experimental curves obtained for sufficiently flat dependencies do not always have a smooth appearance and are often random errors, that there are called noisy. In such cases, there is a problem of noise cleaning of experimental data, correction of random fluctuations of schedules. In such cases, the numerical finite element method is useful for correcting numerical series.

Data Interpretation , Experiment , Geodata , Ground penetrating radar , Radarogram

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Department of Information Systems, S. Seifullin Kazakh Agrotechnical University, Nur-Sultan, Kazakhstan
L.N.Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan

Department of Information Systems
L.N.Gumilyov Eurasian National University

10 лет помогаем публиковать статьи Международный издатель

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