Ultra-wideband 3D image processing for improving landmine detection with gpr

E Ligthart; A Yarovoy; F Roth; LP Ligthart

Ultra-wideband 3D image processing for improving landmine detection with gpr

E Ligthart, A Yarovoy, F Roth, LP Ligthart

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

This paper describes a new landmine detection algorithm starting from high resolution #D ground penetrating radar (DPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3 GPR images. The algorithm has been tested on data measured with an ultra-wideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by the clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.

Original language	Undefined/Unknown
Pages (from-to)	9-15
Number of pages	7
Journal	Journal of Telecommunications and Information Technology
Volume	2
Publication status	Published - 2005

Keywords

academic journal papers
Vakpubl., Overig wet. > 3 pag

Cite this

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title = "Ultra-wideband 3D image processing for improving landmine detection with gpr",

abstract = "This paper describes a new landmine detection algorithm starting from high resolution #D ground penetrating radar (DPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3 GPR images. The algorithm has been tested on data measured with an ultra-wideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by the clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.",

keywords = "academic journal papers, Vakpubl., Overig wet. > 3 pag",

author = "E Ligthart and A Yarovoy and F Roth and LP Ligthart",

year = "2005",

language = "Undefined/Unknown",

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pages = "9--15",

journal = "Journal of Telecommunications and Information Technology",

issn = "1509-4553",

publisher = "National Institute of Telecommunications",

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TY - JOUR

T1 - Ultra-wideband 3D image processing for improving landmine detection with gpr

AU - Ligthart, E

AU - Yarovoy, A

AU - Roth, F

AU - Ligthart, LP

PY - 2005

Y1 - 2005

N2 - This paper describes a new landmine detection algorithm starting from high resolution #D ground penetrating radar (DPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3 GPR images. The algorithm has been tested on data measured with an ultra-wideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by the clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.

AB - This paper describes a new landmine detection algorithm starting from high resolution #D ground penetrating radar (DPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3 GPR images. The algorithm has been tested on data measured with an ultra-wideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by the clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.

KW - academic journal papers

KW - Vakpubl., Overig wet. > 3 pag

M3 - Article

SN - 1509-4553

VL - 2

SP - 9

EP - 15

JO - Journal of Telecommunications and Information Technology

JF - Journal of Telecommunications and Information Technology

ER -