Akademik Veri Yönetim Sistemi
19th International Conference on Geoinformatics: Theoretical and Applied Aspects, Geoinformatics 2020, Kiev, Ukrayna, 11 - 14 Mayıs 2020
© Geoinformatics 2020 - XIXth International Conference "Geoinformatics: Theoretical and Applied Aspects". All rights reserved.Ground Penetrating Radar (GPR) is a geophysical method that is used for investigating and visualizing the underground structures. The usage of GPR in underground research and applications has been increasing recently because it can detect underground structures quickly and accurately. There are some important factors that affect the success of GPR research and applications. One of the factors is the data collection parameters which are under the control of users and can be adjusted according to the aim of the research. Other factors are the research area properties and the structural states of the underground structures. These properties are out of the control of users. Data can be collected incompletely due to such properties as technical failures, rugged terrains, the presence of obstacles, negatively affected electromagnetic signals, etc. These incomplete data make it difficult to visualize and interpret the underground structure with high accuracy. In this study, a methodology is proposed to complete the missing data and predict and visualize the underground structure closest to the original shape in order to contribute to the solution of this problem.