Plastic mine detecting radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images.
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Abstract
Ground penetrating radars (GPR's) have been often applied to underground object imaging. However, conventional radar systems do not work sufficiently to detect anti-personnel plastic landmines. We propose a novel radar imaging system, which processes adaptively interferometric front-end data obtained at multiple-frequency points. The system deals with interferometric images using complex-valued self-organizing map (C-SOM). We demonstrate a successful visualization of a plastic mine buried near the ground surface.
Medical subject headings
- Explosions
- Neural Networks, Computer
- Plastics
- Radar
- Warfare