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| Presentation | 2012-10-11 09:20 Accurate and Robust Automatic Target Recognition Method for SAR Imagery with SOM-Based Classification Shouhei Kidera, Tetsuo Kirimoto (Univ. of Electro-Comm.)  SANE2012-108 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Microwave imaging techniques, in particular synthetic aperture radar (SAR), are able to obtain useful images even in adverse weather or darkness, which makes them suitable for target position or feature estimation. However, typical SAR imagery is not informative for the operator, because it is synthesized using complex radio signals with greater than 1.0 m wavelength. To deal with the target identification issue for imaging radar, various automatic target recognition (ATR) techniques have been developed. One of the most promising ATR approaches is based on neural network classification. However, in the case of SAR images heavily contaminated by random or speckle noises, the classification accuracy is severely degraded because it only compares the outputs of neurons in the final layer. To overcome this problem, this paper proposes a self organized map (SOM) based ATR method, where the binary SAR image is classified using the unified distance matrix (U-matrix) metric given by the SOM. Our numerical analyses and experiments on 5 types of civilian airplanes, demonstrate that the proposed method remarkably enhances the classification accuracy, particular in lower S/N situations, and holds a significant robustness to the angular variations of the observation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Automatic target recognition (ATR) / Neural network / Self organizing map (SOM) / SAR / U-matrix / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 229, SANE2012-108, pp. 281-284, Oct. 2012. | |
| Paper # | SANE2012-108 | |
| Date of Issue | 2012-10-03 (SANE) | |
| 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 | SANE2012-108 |
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| Conference Information | |
| Committee | SANE |
| Conference Date | 2012-10-10 - 2012-10-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The SONGDO CONVENSIA, Incheon Korea |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE 2012 (International Conference on Space, Aeronautical and Navigational Electronics) |
| Paper Information | |
| Registration To | SANE |
| Conference Code | 2012-10-SANE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Accurate and Robust Automatic Target Recognition Method for SAR Imagery with SOM-Based Classification |
| Sub Title (in English) | |
| Keyword(1) | Automatic target recognition (ATR) |
| Keyword(2) | Neural network |
| Keyword(3) | Self organizing map (SOM) |
| Keyword(4) | SAR |
| Keyword(5) | U-matrix |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shouhei Kidera |
| 1st Author's Affiliation | University of Electro-Communications (Univ. of Electro-Comm.) |
| 2nd Author's Name | Tetsuo Kirimoto |
| 2nd Author's Affiliation | University of Electro-Communications (Univ. of Electro-Comm.) |
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| Speaker | Author-1 |
| Date Time | 2012-10-11 09:20:00 |
| Presentation Time | 20 minutes |
| Registration for | SANE |
| Paper # | SANE2012-108 |
| Volume (vol) | vol.112 |
| Number (no) | no.229 |
| Page | pp.281-284 |
| #Pages | 4 |
| Date of Issue | 2012-10-03 (SANE) |
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