2006 Fiscal Year Final Research Report Summary
Development of tomographic ground penetrating radar for detection of landmines
| Project/Area Number |
16360191
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Nagasaki University |
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Principal Investigator |
TAKENAKA Takashi Nagasaki University, Faculty of Engineering, Professor, 工学部, 教授 (40117156)
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| Co-Investigator(Kenkyū-buntansha) |
TANAKA Toshiyuki Nagasaki University, Science & Technology, Associate Professor, 大学院生産科学研究科, 助教授 (50202172)
ZHOU Hui Nagasaki University, Faculty of Engineering, Research Associate, 工学部, 助手 (20346927)
NISHIMOTO Nasahiko Kumamoto University, Science & Technology, Professor, 大学院自然科学研究科, 教授 (60198520)
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| Project Period (FY) |
2004 – 2006
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| Keywords | Detection of landmines / Nondestructive testing / Ground penetrating radar / Synthetic aperture processing |
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| Research Abstract |
Tremendous efforts have been made during last several decades to cope with humanitarian demining because of its immense social and economic problems. Ground penetrating radar (GPR) is the most prospective technology for detection of buried landmines since it can be used for detecting and localizing low-metallic and non-metallic as well as metallic land mines. At present, however, no operationally satisfactory GPR system exist and its significant performance improvement is required indicating a high rate of detection and a low rate of false alarm.
In the group of Nagasaki University, an improved two-dimensional (2-D) synthetic aperture processing technique has been proposed. We made a mine field, where a conducting cylinder of height 5 cm and diameter 3 cm as a metal mine-like object and a candle of 7-cm diameter and 5-cm length (dielectric constant 2.6) as a plastic mine-like object are buried. Using the field, we have made experiments to show the effectiveness of the improved synthetic
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aperture processing technique. In order to improve the accuracy of detection of plastic objects, we have extended the 2-D technique to 3-D one. We have also considered a two-step 3-D synthetic aperture processing technique to reduce the computation time. The two-step approach has been tested to show that processing time in about 60 minutes by the conventional method was shortened in about 1 minute by the two-step approach.
In the group of Kumamoto University, a classification and/or identification problem of mine-like objects under rough ground surface using GPR sensors has been studied. In the process of target identification, it is required to discriminate between targets and clutter objects using target features extracted from reference data prepared through prior experiments and/or numerical simulations. In our group, a time interval between two pulses reflected from upper and lower sides of landmine-like object was employed as a feature and identification performance was examined. Through numerical simulations using dataset generated by a two dimensional FDTD method and simple laboratory experiments, we have shown that good identification performance had been obtained by using this feature even when the target is located at shallow depth under a rough ground surface. Furthermore, we have also discussed about low-dimensional feature vectors that are appropriate for target classification. Less
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