Classification of Landmine-Like Objects Buried under Rough Ground Surfaces Using a Ground Penetrating Radar

Masahiko NISHIMOTO  Keiichi NAGAYOSHI  Shuichi UENO  Yusuke KIMURA  

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
ground penetrating radar,  landmine,  classification,  

Full Text: PDF(540.6KB)>>
Buy this Article

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.