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

Steve R. Pennock; Hugo Jenks

doi:10.1109/IWAGPR.2017.7996061

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

Department of Electronic & Electrical Engineering

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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 language	English
Title of host publication	2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings
Publisher	IEEE
ISBN (Electronic)	9781509054848
DOIs	https://doi.org/10.1109/IWAGPR.2017.7996061
Publication status	Published - 28 Jul 2017
Event	9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Edinburgh, UK United Kingdom Duration: 28 Jun 2017 → 30 Jun 2017

Conference

Conference	9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017
Country/Territory	UK United Kingdom
City	Edinburgh
Period	28/06/17 → 30/06/17

ASJC Scopus subject areas

Earth-Surface Processes
Instrumentation

Access to Document

10.1109/IWAGPR.2017.7996061

Cite this

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

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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.",

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AB - 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.

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M3 - Chapter in a published conference proceeding

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BT - 2017 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017 - Proceedings

PB - IEEE

T2 - 9th International Workshop on Advanced Ground Penetrating Radar, IWAGPR 2017

Y2 - 28 June 2017 through 30 June 2017

ER -

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

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Assessing the Underworld

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

Abstract

Conference

ASJC Scopus subject areas

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Assessing the Underworld

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