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Syntactic landmine detection and classification

Authors: Kenneth J. Hintz; Nathalia Peixoto; David Hwang;

Syntactic landmine detection and classification

Abstract

A high range resolution ground penetrating radar signal is processed to convert the A-scan data into a binary valued string in which a one represents the location of an impedance change and a zero otherwise. For non-metallic landmines it has been shown that this pattern is unique and can be used to discriminate among landmines and clutter. The discrimination method is based on regular languages which consist of the binarized sequences produced by various landmines. Methods have been developed to automatically create language recognizers which not only recognize a landmine's characteristic string, but also variations of those strings.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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