IED command wire detection using multi-aspect processing on SAR images

K.T.J. Klein, Faruk Uysal, Miguel Caro Cuenca, Matern Otten, TNO de Wit

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

In this paper, a wire detection algorithm is proposed for synthetic aperture radar (SAR) images. The algorithm is specifically designed for SAR images generated from an agile, drone-mounted, omnidirectional radar array to be used for the detection of improvised explosive devices (IEDs). A multistage approach consisting of denoising, constant false alarm rate (CFAR) thresholding, feature extraction, and automated detection using the Radon transform, is proposed and applied to a set of SAR images with multiple aspect angles. At each detection step, the look-angles of individual pixels are used to remove false alarms, and improve detection accuracy. The algorithm is tested using measured data and provides an acceptable detection performance on straight wire segments even in the presence of a strong background clutter.
Original languageEnglish
Title of host publication2020 IEEE Radar Conference, RadarConf 2020
PublisherIEEE
Pages1559-1564
Number of pages6
ISBN (Electronic)9781728189420
DOIs
Publication statusPublished - Sep 2020
Event17th European Radar Conference: in the framework of the European Microwave Week 2020 - Utrecht, Netherlands
Duration: 16 Sep 202018 Sep 2020
https://www.eumweek.com/conferences/eurad.html

Publication series

NameIEEE National Radar Conference - Proceedings
Volume2020-September
ISSN (Print)1097-5659

Conference

Conference17th European Radar Conference: in the framework of the European Microwave Week 2020
Abbreviated titleEuRAD-2020
CountryNetherlands
CityUtrecht
Period16/09/2018/09/20
Internet address

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