| Literature DB >> 15555861 |
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.Mesh:
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Year: 2004 PMID: 15555861 DOI: 10.1016/j.neunet.2004.07.012
Source DB: PubMed Journal: Neural Netw ISSN: 0893-6080