Paper
12 April 2002 Advances in directional borehole radar data analysis and visualization
David V. Smith, Philip J. Brown II
Author Affiliations +
Proceedings Volume 4758, Ninth International Conference on Ground Penetrating Radar; (2002) https://doi.org/10.1117/12.462230
Event: Ninth International Conference on Ground Penetrating Radar (GPR2002), 2002, Santa Barbara, CA, United States
Abstract
The U.S. Geological Survey is developing a directional borehole radar (DBOR) tool for mapping fractures, lithologic changes, and underground utility and void detection. An important part of the development of the DBOR tool is data analysis and visualization, with the aim of making the software graphical user interface (GUI) intuitive and easy to use. The DBOR software system consists of a suite of signal and image processing routines written in Research Systems' Interactive Data Language (IDL). The software also serves as a front-end to many widely accepted Colorado School of Mines Center for Wave Phenomena (CWP) Seismic UNIX (SU) algorithms (Cohen and Stockwell, 2001). Although the SU collection runs natively in a UNIX environment, our system seamlessly emulates a UNIX session within a widely used PC operating system (MicroSoft Windows) using GNU tools (Noer, 1998). Examples are presented of laboratory data acquired with the prototype tool from two different experimental settings. The first experiment imaged plastic pipes in a macro-scale sand tank. The second experiment monitored the progress of an invasion front resulting from oil injection. Finally, challenges to further development and planned future work are discussed.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David V. Smith and Philip J. Brown II "Advances in directional borehole radar data analysis and visualization", Proc. SPIE 4758, Ninth International Conference on Ground Penetrating Radar, (12 April 2002); https://doi.org/10.1117/12.462230
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Cited by 2 scholarly publications.
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KEYWORDS
Visualization

Radar

Data processing

Mining

Algorithm development

Data acquisition

Data analysis

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