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| Presentation | 2021-11-12 14:00 Detecting moving ships in ALOS-2 spotlight SAR images by deep learning model Takero Yoshida (TUMSAT)  SANE2021-57 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Spotlight SAR image has high resolution with long azimuth integration time. Meanwhile moving objects like ships are not focused due to the long integration time. Therefore, the moving ships in the spotlight SAR images are emerged as extended shapes in the azimuth direction. It is a typical imaging of moving ships in a spotlight mode, and therefore we can classify ships into moving and stationary cases. This paper shows the detection of moving ships by deep learning method, in particular using YOLOv5 model, which is relatively new method in a framework of YOLO family. ALOS-2/PALSAR-2 spotlight SAR images were analyzed and moving ships were detected by YOLOv5 model. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | / / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 236, SANE2021-57, pp. 136-138, Nov. 2021. | |
| Paper # | SANE2021-57 | |
| Date of Issue | 2021-11-04 (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 | SANE2021-57 |
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| Conference Information | |
| Committee | SANE |
| Conference Date | 2021-11-11 - 2021-11-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE2021/Workshop on subsurface electromagnetic measurement |
| Paper Information | |
| Registration To | SANE |
| Conference Code | 2021-11-SANE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detecting moving ships in ALOS-2 spotlight SAR images by deep learning model |
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| 1st Author's Name | Takero Yoshida |
| 1st Author's Affiliation | Tokyo University of Marine Science and Technology (TUMSAT) |
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| Speaker | Author-1 |
| Date Time | 2021-11-12 14:00:00 |
| Presentation Time | 20 minutes |
| Registration for | SANE |
| Paper # | SANE2021-57 |
| Volume (vol) | vol.121 |
| Number (no) | no.236 |
| Page | pp.136-138 |
| #Pages | 3 |
| Date of Issue | 2021-11-04 (SANE) |
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