GPR Detection of Buried Symmetrically Shaped Mine-like Objects using Selective Independent Component Analysis

Brian Karlsen; Helge Bjarup Dissing Sørensen; Jan Larsen; Kaj Bjarne Jakobsen

doi:10.1117/12.487311

GPR Detection of Buried Symmetrically Shaped Mine-like Objects using Selective Independent Component Analysis

Brian Karlsen
, Helge Bjarup Dissing Sørensen
, Jan Larsen
, Kaj Bjarne Jakobsen

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Abstract

This paper addresses the detection of mine-like objects in stepped-frequency ground penetrating radar (SF-GPR) data as a function of object size, object content, and burial depth. The detection approach is based on a Selective Independent Component Analysis (SICA). SIC A provides an automatic ranking of components, which enables the suppression of clutter, hence extraction of components carrying mine information. The goal of the investigation is to evaluate various time and frequency domain ICA approaches based on SICA. The performance comparison is based on a series of mine-like objects ranging from small-scale anti-personal (AP) mines to large-scale anti-tank (AT) mines. Large-scale SF-GPR measurements on this series of mine-like objects buried in soil were performed. The SF-GPR data was acquired using a wideband monostatic bow-tie antenna operating in the frequency range 750 MHz - 3.0 GHz. The detection and clutter reduction approaches based on SICA are successfully evaluated on this SF-GPR dataset.

Original language	English
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5089
Issue number	1
Pages (from-to)	375-386
ISSN	0277-786X
DOIs	https://doi.org/10.1117/12.487311
Publication status	Published - 2003
Event	AeroSense 2003 - Orlando, United States Duration: 21 Apr 2003 → 25 Apr 2003

Conference

Conference	AeroSense 2003
Country/Territory	United States
City	Orlando
Period	21/04/2003 → 25/04/2003

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title = "GPR Detection of Buried Symmetrically Shaped Mine-like Objects using Selective Independent Component Analysis",

abstract = "This paper addresses the detection of mine-like objects in stepped-frequency ground penetrating radar (SF-GPR) data as a function of object size, object content, and burial depth. The detection approach is based on a Selective Independent Component Analysis (SICA). SIC A provides an automatic ranking of components, which enables the suppression of clutter, hence extraction of components carrying mine information. The goal of the investigation is to evaluate various time and frequency domain ICA approaches based on SICA. The performance comparison is based on a series of mine-like objects ranging from small-scale anti-personal (AP) mines to large-scale anti-tank (AT) mines. Large-scale SF-GPR measurements on this series of mine-like objects buried in soil were performed. The SF-GPR data was acquired using a wideband monostatic bow-tie antenna operating in the frequency range 750 MHz - 3.0 GHz. The detection and clutter reduction approaches based on SICA are successfully evaluated on this SF-GPR dataset.",

keywords = "GPR ICA stepped frequency landmine",

author = "Brian Karlsen and S{\o}rensen, \{Helge Bjarup Dissing\} and Jan Larsen and Jakobsen, \{Kaj Bjarne\}",

year = "2003",

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AU - Sørensen, Helge Bjarup Dissing

AU - Larsen, Jan

AU - Jakobsen, Kaj Bjarne

PY - 2003

Y1 - 2003

N2 - This paper addresses the detection of mine-like objects in stepped-frequency ground penetrating radar (SF-GPR) data as a function of object size, object content, and burial depth. The detection approach is based on a Selective Independent Component Analysis (SICA). SIC A provides an automatic ranking of components, which enables the suppression of clutter, hence extraction of components carrying mine information. The goal of the investigation is to evaluate various time and frequency domain ICA approaches based on SICA. The performance comparison is based on a series of mine-like objects ranging from small-scale anti-personal (AP) mines to large-scale anti-tank (AT) mines. Large-scale SF-GPR measurements on this series of mine-like objects buried in soil were performed. The SF-GPR data was acquired using a wideband monostatic bow-tie antenna operating in the frequency range 750 MHz - 3.0 GHz. The detection and clutter reduction approaches based on SICA are successfully evaluated on this SF-GPR dataset.

AB - This paper addresses the detection of mine-like objects in stepped-frequency ground penetrating radar (SF-GPR) data as a function of object size, object content, and burial depth. The detection approach is based on a Selective Independent Component Analysis (SICA). SIC A provides an automatic ranking of components, which enables the suppression of clutter, hence extraction of components carrying mine information. The goal of the investigation is to evaluate various time and frequency domain ICA approaches based on SICA. The performance comparison is based on a series of mine-like objects ranging from small-scale anti-personal (AP) mines to large-scale anti-tank (AT) mines. Large-scale SF-GPR measurements on this series of mine-like objects buried in soil were performed. The SF-GPR data was acquired using a wideband monostatic bow-tie antenna operating in the frequency range 750 MHz - 3.0 GHz. The detection and clutter reduction approaches based on SICA are successfully evaluated on this SF-GPR dataset.

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DO - 10.1117/12.487311

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

IS - 1

T2 - AeroSense 2003

Y2 - 21 April 2003 through 25 April 2003

ER -

GPR Detection of Buried Symmetrically Shaped Mine-like Objects using Selective Independent Component Analysis

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