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| Presentation | 2007-08-02 14:55 GPR signal analysis for classification of buried objects -- Application of Support Vector Machines for target classification -- Masahiko Nishimoto, Hikaru Kitajima, Yuuki Nishina, Kohichi Ogata (Kumamoto Univ.)  MW2007-52 OPE2007-39 Link to ES Tech. Rep. Archives: MW2007-52 OPE2007-39 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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 the FDTD method. The results show that good identification performance is obtained. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | landmine / ground penetrating radar / feature extraction / support vector machine / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 107, Aug. 2007. | |
| Paper # | ||
| Date of Issue | 2007-07-26 (MW, OPE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MW2007-52 OPE2007-39 Link to ES Tech. Rep. Archives: MW2007-52 OPE2007-39 |
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| Conference Information | |
| Committee | EMT OPE MW |
| Conference Date | 2007-08-02 - 2007-08-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Muroran Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EMT |
| Conference Code | 2007-08-EMT-OPE-MW |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | GPR signal analysis for classification of buried objects |
| Sub Title (in English) | Application of Support Vector Machines for target classification |
| Keyword(1) | landmine |
| Keyword(2) | ground penetrating radar |
| Keyword(3) | feature extraction |
| Keyword(4) | support vector machine |
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| 1st Author's Name | Masahiko Nishimoto |
| 1st Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 2nd Author's Name | Hikaru Kitajima |
| 2nd Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 3rd Author's Name | Yuuki Nishina |
| 3rd Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
| 4th Author's Name | Kohichi Ogata |
| 4th Author's Affiliation | Kumamoto University (Kumamoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2007-08-02 14:55:00 |
| Presentation Time | 25 minutes |
| Registration for | EMT |
| Paper # | MW2007-52, OPE2007-39 |
| Volume (vol) | vol.107 |
| Number (no) | no.172(MW), no.173(OPE) |
| Page | pp.59-63 |
| #Pages | 5 |
| Date of Issue | 2007-07-26 (MW, OPE) |
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