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| Presentation | 2020-11-25 10:20 Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images Yang Yu, Josaphat Tetuko Sri Sumantyo (Chiba Univ.)  SANE2020-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Environment of Japan is situated by steep mountains and some disasters as typhoons, heavy rains and earthquakes that caused landslides, mudslides and landslide disasters due to slope deformation such as slope failures. The earthquake caused widespread collapse of the slope, and it was very dangerous. In this study, we investigate automatic recognition of landslide damage in a region by using the synthetic aperture radar images after a disaster and analyzing characteristic slope failures by deep learning with a small amount of training data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Full Polarimetric Synthetic Aperture Radar / Deep Learning / Small Dataset / Target recognition / Landslide Damage / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 250, SANE2020-27, pp. 1-6, Nov. 2020. | |
| Paper # | SANE2020-27 | |
| Date of Issue | 2020-11-18 (SANE) | |
| ISSN | 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 | SANE2020-27 |
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| Conference Information | |
| Committee | SANE |
| Conference Date | 2020-11-25 - 2020-11-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Radar, Remote Sensing and general issues |
| Paper Information | |
| Registration To | SANE |
| Conference Code | 2020-11-SANE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Observation of Hokkaido-Iburi-Tobu Earthquake by Deep Learning of SAR Images |
| Sub Title (in English) | |
| Keyword(1) | Full Polarimetric Synthetic Aperture Radar |
| Keyword(2) | Deep Learning |
| Keyword(3) | Small Dataset |
| Keyword(4) | Target recognition |
| Keyword(5) | Landslide Damage |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yang Yu |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Josaphat Tetuko Sri Sumantyo |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-11-25 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | SANE |
| Paper # | SANE2020-27 |
| Volume (vol) | vol.120 |
| Number (no) | no.250 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2020-11-18 (SANE) |
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