Paper
22 July 1997 Detection and classification results for an impulse radar mine detection system
Anders Ericsson, Anders Gustafsson
Author Affiliations +
Abstract
At Sweden's Defence Research Establishment, FOA, a hand-held mine detection device is under development. The system is based on impulse radar technique, which due to its large band width, has shown to be an effective means to find objects buried shallow in the ground. Working with radar technique gives an obvious advantage compared to e.g., metal detectors when searching for plastic mines, or when the search is performed in an area highly contaminated with metal fragments or when the soil itself is rich of ferrite. The paper concentrates on detection and classification of minelike objects from measurements in an indoor testing environment. The focus is on evaluating how methods, partly already successfully proven, work in a 'difficult' environment, namely extremely dry sand. The result shows that metal objects and a stone that was used as object, are fairly easy to detect and to classify correct. The fact that the stone is classifiable, means that the false alarm rate can be reduced. It is also possible to detect a nylon cylinder, but here is the result quite sensitive to parameters of the detection algorithm. This is due to that the permittivity of the sand in the experiment is extremely low and close to the one for nylon. For the same reason, a non-metallic AP mine is not detectable or classifiable in the dry sand. The results indicate that even thought he methods work in more normal environments, other detection and classification algorithms than the presented ones have to be used in extreme cases like this one, in order ensure the function of the device.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anders Ericsson and Anders Gustafsson "Detection and classification results for an impulse radar mine detection system", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280891
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Land mines

Radar

Metals

Antennas

Detection and tracking algorithms

Mining

Signal detection

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