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| Paper Abstract and Keywords | ||
| Presentation | 2022-12-16 11:25 Polarimetric SAR Ship Detection Based on Sparse Reconstruction Error Saliency Jiahao Luo, Junjun Yin (USTB), Jian Yang (THU)  SANE2022-79 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Ship detection is one of the important applications of polarimetric synthetic aperture radar(SAR) images. In this study, we introduce sparse reconstruction error saliency into polarimetric SAR ship detection, and propose a polarimetric SAR detection method based on sparse reconstruction error saliency. We conduct experiments on two fully polarized SAR images from the ALOS-2 satellite, and demonstrate the effectiveness of the proposed method by comparing it with the CA-CFAR method at both object-level and pixel-level. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ship Detection / Polarimetric SAR / Sparse Reconstruction / Saliency / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 312, SANE2022-79, pp. 80-84, Dec. 2022. | |
| Paper # | SANE2022-79 | |
| Date of Issue | 2022-12-08 (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 | SANE2022-79 |
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| Conference Information | |
| Committee | SANE |
| Conference Date | 2022-12-15 - 2022-12-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasaki Public Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE |
| Paper Information | |
| Registration To | SANE |
| Conference Code | 2022-12-SANE |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Polarimetric SAR Ship Detection Based on Sparse Reconstruction Error Saliency |
| Sub Title (in English) | |
| Keyword(1) | Ship Detection |
| Keyword(2) | Polarimetric SAR |
| Keyword(3) | Sparse Reconstruction |
| Keyword(4) | Saliency |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Jiahao Luo |
| 1st Author's Affiliation | University of Science and Technology Beijing (USTB) |
| 2nd Author's Name | Junjun Yin |
| 2nd Author's Affiliation | University of Science and Technology Beijing (USTB) |
| 3rd Author's Name | Jian Yang |
| 3rd Author's Affiliation | Tsinghua University (THU) |
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| Speaker | Author-1 |
| Date Time | 2022-12-16 11:25:00 |
| Presentation Time | 20 minutes |
| Registration for | SANE |
| Paper # | SANE2022-79 |
| Volume (vol) | vol.122 |
| Number (no) | no.312 |
| Page | pp.80-84 |
| #Pages | 5 |
| Date of Issue | 2022-12-08 (SANE) |
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