A software toolset for processing and visualization of single and multi-offset GPR data

Angelis, Dimitrios, Warren, Craig and Diamanti, Nectaria (2020) A software toolset for processing and visualization of single and multi-offset GPR data. In: 18th International Conference on Ground Penetrating Radar. Proceedings of the International Conference on Ground Penetrating Radar . Society of Exploration Geophysicists, Tulsa, pp. 320-323.

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Official URL: https://doi.org/10.1190/gpr2020-084.1

Abstract

Processing Ground Penetrating Radar (GPR) data is essential to assist with interpretation, the reduction of unwanted noise, and to highlight information relating to the purpose of a survey. Currently, the majority of GPR data processing software is coupled together with GPR hardware systems from the manufacturers, and often at an additional cost. These software packages often incorporate simplified or limited processing methods, and they do not allow the processing of data generated by GPR systems of different manufacturers.

We present a MATLAB-based software with a user-friendly graphical user interface (GUI) for the visualization and processing of GPR data. The software supports file formats from a wide variety of GPR manufacturers, and can handle both single-fold (SF) and multi-fold (MF) GPR data. The software is capable of applying standard workflows, but one of its key features is novel processing algorithms for MF GPR data, especially from the new multi-concurrent sampling receiver GPR systems. These algorithms are more commonly used in seismic data processing and have not previously been applied to GPR data from these systems.

Item Type: Book Section
Uncontrolled Keywords: visualization, processing, reflection, ground penetrating radar, algorithm
Subjects: G400 Computer Science
G600 Software Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: John Coen
Date Deposited: 17 Nov 2020 14:09
Last Modified: 17 Nov 2020 14:30
URI: http://nrl.northumbria.ac.uk/id/eprint/44779

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