Title:

Ultra-wideband 3D image processing for improving landmine detection with GPR, Journal of Telecommunications and Information Technology, 2005, nr 2

Creator:

Yarovoy, Alexander G. ; Ligthart, Eveline E. ; Roth, Friedrich ; Ligthart, Leo P.

Subject and Keywords:

object detection ; clutter removal ; classification ; image processing ; ground penetrating radar

Description:

This paper describes a new landmine detection algorithm starting from high resolution 3D ground penetrating radar (GPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3D GPR images. The algorithm has been tested on data measured with an ultrawideband (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 clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Date:

2005, nr 2

Resource Type:

artykuł

Format:

application/pdf

DOI:

10.26636/jtit.2005.2.314

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności