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

Steve R. Pennock, Hugo Jenks

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

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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