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Modern high technologies
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AUTOMATION OF EXCRETION OF HYPERBOLIC IN-PHASE AXES OF GEORADAR SIGNALS DIFFRACTED FROM LOCAL INHOMOGENEENCIES

Petrova E.A. 1, Sokolov K.O. 2
1 North-Eastern Federal University
2 Institute of Mining of the North named after N.V. Chersky SB RAS
The article is devoted to the description of the algorithm for finding the in-phase axes, which appear on the georadarograms in the form of hyperbolic lines. This algorithm was implemented in an application designed to research the electrophysical properties of soils. The in-phase axes of diffracted waves from local objects and electrophysical boundaries located in the ground are importance in solving the problems of analysis and interpretation of GPR data. According to the shape and spatial position of the in-phase axes, the signal propagation velocities are calculated, on the basis of which conclusions are drawn about the structure and electrophysical properties of the geological environment. In this regard, the requirements for the accuracy of determining the space-time position and the shape of the diffracted wave are increasing. Within the framework of this work, an algorithm was proposed based on the mathematical convolution operation used, for example, in the development of some filters for image processing and pattern recognition in convolutional neural network. The proposed technique will automate the recognition process, as well as reduce the probability of errors arising on other methods of determining the hyperbolic in-phase axes. The implemented application made it possible to obtain the data necessary for further investigation of the physical properties of the geological environment. The software development algorithm can be used as an auxiliary one for a wide range of tasks of analysis and modeling of ground penetrating radar data.
GPR
radarogram
in-phase axis
diffracted wave
convolution

Библиографическая ссылка

Петрова Е.А., Соколов К.О. АВТОМАТИЗАЦИЯ ВЫДЕЛЕНИЯ ГИПЕРБОЛИЧЕСКИХ ОСЕЙ СИНФАЗНОСТИ ГЕОРАДАРНЫХ СИГНАЛОВ, ДИФРАГИРОВАННЫХ ОТ ЛОКАЛЬНЫХ НЕОДНОРОДНОСТЕЙ // Современные наукоемкие технологии. 2020. № 11-1. С. 61-66;
URL: https://top-technologies.ru/en/article/view?id=38299 (дата обращения: 01.07.2026).