Abstract
Landmines have been laid in conflicts around the world, and they cause enormous humanitarian problems in more than 60 countries, killing, mutilating, or maiming the innocent every day. They do not differentiate between elderly, men, women, children, or animals, and they are triggered off by the victims themselves. Detection and clearance of landmines, however, have turned out to be an immensely challenging problem. A traditional means for detecting mines is the metal detector. The detector head is slowly moved over the suspicious terrain, and it gives out audible alerts when metal in the ground disturbs the magnetic field the detector generates. In general, the number of false alarms caused by various (man-made) metal objects in the ground is a great deal larger than the number of mines. This makes mine clearance a tiring task that demands the highest level of concentration. Moreover, a hazard involved is that the metal detector could be too insensitive to mines of low-metal content.
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Gaunaurd, G.C., Strifors, H.C. (2007). Automatic Recognition of Underground Targets Using Time-Frequency Analysis and Optimization Techniques. In: Sadjadi, F., Javidi, B. (eds) Physics of Automatic Target Recognition. Advanced Sciences and Technologies for Security Applications, vol 3. Springer, New York, NY. https://doi.org/10.1007/978-0-387-36943-3_3
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