Plastic mine detecting radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images.
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.
Hara
Takahiro
T
Department of Frontier Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Hirose
Akira
A
D000465:Algorithms; D001753:Blast Injuries / Q000517:prevention & control; D005107:Explosions / Q000517:prevention & control*; D006801:Humans; D007368:Interferometry; D016571:Neural Networks, Computer; D010969:Plastics; D011825:Radar / Q000295:instrumentation*; D014857:Warfare
D010969:Plastics