Enhancing image formation from GPR data by a normalised geometric mean analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Image formation in Ground Penetrating Radar (GPR) has been used to provide data that is easier to interpret than hyperbolic traces in B-scans. A limitation of past work is a tendency to produce quite low contrast images. In this work a normalised geometric mean analysis is used that provides a higher contrast image. Its use on simple target scenarios is initially investigated. Then the more commonly encountered and testing cases of layered ground and of significantly inhomogeneous ground resulting from a finite porosity or void density are examined in this paper.

Original languageEnglish
Title of host publication2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings
PublisherIEEE
ISBN (Electronic)9781509054848
DOIs
Publication statusPublished - 28 Jul 2017
Event9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Edinburgh, UK United Kingdom
Duration: 28 Jun 201730 Jun 2017

Conference

Conference9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017
CountryUK United Kingdom
CityEdinburgh
Period28/06/1730/06/17

Fingerprint

ground penetrating radar
radar data
image contrast
Density (specific gravity)
Radar
Image processing
Porosity
Testing
voids
tendencies
porosity
void
analysis

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Instrumentation

Cite this

Pennock, S. R., & Jenks, H. (2017). Enhancing image formation from GPR data by a normalised geometric mean analysis. In 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings [7996061] IEEE. https://doi.org/10.1109/IWAGPR.2017.7996061

Enhancing image formation from GPR data by a normalised geometric mean analysis. / Pennock, Steve R.; Jenks, Hugo.

2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings. IEEE, 2017. 7996061.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pennock, SR & Jenks, H 2017, Enhancing image formation from GPR data by a normalised geometric mean analysis. in 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings., 7996061, IEEE, 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017, Edinburgh, UK United Kingdom, 28/06/17. https://doi.org/10.1109/IWAGPR.2017.7996061
Pennock SR, Jenks H. Enhancing image formation from GPR data by a normalised geometric mean analysis. In 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings. IEEE. 2017. 7996061 https://doi.org/10.1109/IWAGPR.2017.7996061
Pennock, Steve R. ; Jenks, Hugo. / Enhancing image formation from GPR data by a normalised geometric mean analysis. 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings. IEEE, 2017.
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