NDLI: Handheld metal detector with online visualisation and classification for the humanitarian mine clearance

Content Provider	IEEE Xplore Digital Library
Author	Kruger, H. Ewald, H.
Copyright Year	2008
Description	Author affiliation: Inst. of Gen. Electr. Eng., Univ. of Rostock, Rostock (Kruger, H.; Ewald, H.)
Abstract	Today for clearing areas from landmines, beside dogs and searching needles, almost only metal detectors are used. Metal detectors for mine clearance are high sensitive inductive sensors which react also on small metal parts. Nevertheless, they give no further information about the buried object (depth, size, shape, material). Besides, the high false alarm rate (up to 1000 per mine) makes the mine clearance a protracted and cost-intensive process. Reasons for the false alarms are "uncooperative" soils, harmless metallic objects and the low metal content in newer anti-personnel mines. In this paper a method is described which provides more information about the buried object by using image processing and signature classification, which works also in the presence of "uncooperative" soil. Based on an algorithm for soil compensation and object classification, this paper describes a handheld system with online visualization and classification. Therefore a commercial metal detector was enhanced with additional signal processing and an ultrasonic position reference system.
Starting Page	415
Ending Page	418
File Size	1720414
Page Count	4
File Format	PDF
ISBN	9781424425808
ISSN	19300395
DOI	10.1109/ICSENS.2008.4716466
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Visualization Soil Landmine detection Buried object detection Signal processing algorithms Dogs Needles Shape Image processing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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