Plastic mine detecting radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images

  • Authors:
  • Takahiro Hara;Akira Hirose

  • Affiliations:
  • Department of Frontier Inforamtics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan;Department of Frontier Inforamtics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

  • Venue:
  • Neural Networks - 2004 Special issue: New developments in self-organizing systems
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

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.