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http://dx.doi.org/10.7582/GGE.2021.24.3.113

Introduction to Useful Attributes for the Interpretation of GPR Data and an Analysis on Past Cases  

Yu, Huieun (Department of Energy and Mineral Resources Engineering, Sejong University)
Joung, In Seok (Department of Energy and Mineral Resources Engineering, Sejong University)
Lim, Bosung (Korea National Oil Corporation)
Nam, Myung Jin (Department of Energy and Mineral Resources Engineering, Sejong University)
Publication Information
Geophysics and Geophysical Exploration / v.24, no.3, 2021 , pp. 113-130 More about this Journal
Abstract
Recently, ground-penetrating radar (GPR) surveys have been actively employed to obtain a large amount of data on occurrences such as ground subsidence and road safety. However, considering the cost and time efficiency, more intuitive and accurate interpretation methods are required, as interpreting a whole survey data set is a cost-intensive process. For this purpose, GPR data can be subjected to attribute analysis, which allows quantitative interpretation. Among the seismic attributes that have been widely used in the field of exploration, complex trace analysis and similarity are the most suitable methods for analyzing GPR data. Further, recently proposed attributes such as edge detecting and texture attributes are also effective for GPR data analysis because of the advances in image processing. In this paper, as a reference for research on the attribute analysis of GPR data, we introduce the useful attributes for GPR data and describe their concepts. Further, we present an analysis of the interpretation methods based on the attribute analysis and past cases.
Keywords
ground penetrating radar; attribute analysis; image processing; texture attribute; similarity;
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