Classification of Landmine-Like Objects Buried under Rough Ground Surfaces Using a Ground Penetrating Radar
| Autor: | Yusuke Kimura, Shuichi Ueno, Masahiko Nishimoto, Keiichi Nagayoshi |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Ground effect (cars)
Computer simulation business.industry System of measurement Monte Carlo method Finite-difference time-domain method Surface finish Electronic Optical and Magnetic Materials Optics Ground-penetrating radar Surface roughness Electrical and Electronic Engineering business Geology Remote sensing |
| Zdroj: | IEICE Transactions on Electronics. :327-333 |
| ISSN: | 1745-1353 0916-8524 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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