| Presentation | 2007-08-02 GPR signal analysis for classification of buried objects : Application of Support Vector Machines for target classification Masahiko NISHIMOTO, Hikaru KITAJIMA, Yuuki NISHINA, Koichi OGATA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Identification of shallowly buried landmines using ground penetrating radar (GPR) data is studied. Three kinds of features for target identification are proposed : (a) time interval between two pulses reflected from top and bottom sides of the objects, (b) normalized waveform correlation, and (c) dispersion of arrival time of target responses. Since the identification considered here is reduced to a classification problem of a desired target and other clutter objects, a support vector machine (SVM) is employed as a classifier. In order to evaluate the identification performance, we carry out a Monte Carlo simulation using dataset generated by a two- dimensional finite difference time domain (FDTD) method. The results show that good identification performance is obtained, and thus we can confirm that the proposed features are useful for discrimination of landmines from confusing clutter objects. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Landmine / Ground penetrating radar / Feature extraction / Support vector machine |
| Paper # | MW2007-52,OPE2007-39 |
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| Conference Information | |
| Committee | MW |
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| Conference Date | 2007/7/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Microwaves (MW) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | GPR signal analysis for classification of buried objects : Application of Support Vector Machines for target classification |
| Sub Title (in English) | |
| Keyword(1) | Landmine |
| Keyword(2) | Ground penetrating radar |
| Keyword(3) | Feature extraction |
| Keyword(4) | Support vector machine |
| 1st Author's Name | Masahiko NISHIMOTO |
| 1st Author's Affiliation | Graduate School of Science and Technology, Kumamoto University() |
| 2nd Author's Name | Hikaru KITAJIMA |
| 2nd Author's Affiliation | Graduate School of Science and Technology, Kumamoto University |
| 3rd Author's Name | Yuuki NISHINA |
| 3rd Author's Affiliation | Graduate School of Science and Technology, Kumamoto University |
| 4th Author's Name | Koichi OGATA |
| 4th Author's Affiliation | Graduate School of Science and Technology, Kumamoto University |
| Date | 2007-08-02 |
| Paper # | MW2007-52,OPE2007-39 |
| Volume (vol) | vol.107 |
| Number (no) | 172 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |