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Content Provider | IEEE Xplore Digital Library |
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Author | Kruger, H. Ewald, H. |
Copyright Year | 2009 |
Description | Author affiliation: Institute of General Electrical Engineering, University of Rostock, Germany (Kruger, H.; Ewald, H.) |
Abstract | Metal detectors based on the eddy current principle are widely used in humanitarian demining, but their main disadvantage is the high false alarm rate caused by harmless clutter objects or “uncooperative” soils. In most cases, the types of mines in the field are known a-priori. So their influence on the metal detector can be measured and stored in a database. In this paper a new method is described that uses this information to adapt the soil compensation and the signal classification to achieve a significant reduction of false alarms. Therefore a fuzzy classifier is used that adapt to the signal quality and feature variance of the known objects. The ability to lower the false alarm rate was verified by trials on the test lane for mine detection provided by the Joint Research Center in Ispra (Italy). |
Starting Page | 1459 |
Ending Page | 1462 |
File Size | 863345 |
Page Count | 4 |
File Format | |
ISBN | 9781424445486 |
ISSN | 19300395 |
DOI | 10.1109/ICSENS.2009.5398449 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-10-25 |
Publisher Place | New Zealand |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Signal processing Detectors Soil measurements Magnetic field measurement Coils Matrix decomposition Eddy currents Current density Landmine detection Magnetic fields |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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