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Classification of Landmine-Like Objects Buried under Rough Ground Surfaces Using a Ground Penetrating Radar
Masahiko NISHIMOTO Keiichi NAGAYOSHI Shuichi UENO Yusuke KIMURA
Publication
IEICE TRANSACTIONS on Electronics
Vol.E90-C
No.2
pp.327-333 Publication Date: 2007/02/01 Online ISSN: 1745-1353
DOI: 10.1093/ietele/e90-c.2.327 Print ISSN: 0916-8516 Type of Manuscript: Special Section PAPER (Special Section on Recent Progress in Electromagnetic Theory and Its Application) Category: Inverse Problems Keyword: ground penetrating radar, landmine, classification,
Full Text: PDF(540.6KB)>>
Summary:
A feature for classification of shallowly buried landmine-like objects using a ground penetrating radar (GPR) measurement system is proposed and its performance is evaluated. The feature for classification employed here is a time interval between two pulses reflected from top and bottom sides of landmine-like objects. First, we estimate a time resolution required to detect object thickness from GPR data, and check the actual time resolution through laboratory experiment. Next, we evaluate the classification performance using Monte Carlo simulations from dataset generated by a two-dimensional finite difference time domain (FDTD) method. The results show that good classification performance is achieved even for landmine-like objects buried at shallow depths under rough ground surfaces. Furthermore, we also estimate the effects of ground surface roughness, soil inhomogeneity, and target inclination on the classification performance.
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