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Paper Abstract and Keywords
Presentation 2021-12-16 11:00
Flood Detection by use of Temporally Stacking of Synthetic Aperture Radar Interferometric Coherence
Yoshio Nishidate, Akira Hirose, Ryo Natsuaki (UTokyo) SANE2021-67
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a new method for detecting flood area by using Synthetic Aperture Radar (SAR). This method estimates the flood area by use of temporally stacked complex amplitude image of interferometric coherence. It keeps high spatial resolution and detection accuracy. We applied the method to Joso district case of the Kanto-Tohoku Heavy Rainfall Disaster in September 2015 and confirmed that the proposed method especially reduces false positives in non-flood area compared to the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Synthetic Aperture Radar / InSAR / Remote Sensing / Flood disaster / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 306, SANE2021-67, pp. 23-28, Dec. 2021.
Paper # SANE2021-67 
Date of Issue 2021-12-09 (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)
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Conference Information
Committee SANE  
Conference Date 2021-12-16 - 2021-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radar, Remote Sensing and general issues 
Paper Information
Registration To SANE 
Conference Code 2021-12-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Flood Detection by use of Temporally Stacking of Synthetic Aperture Radar Interferometric Coherence 
Sub Title (in English)  
Keyword(1) Synthetic Aperture Radar  
Keyword(2) InSAR  
Keyword(3) Remote Sensing  
Keyword(4) Flood disaster  
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1st Author's Name Yoshio Nishidate  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Akira Hirose  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Ryo Natsuaki  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2021-12-16 11:00:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2021-67 
Volume (vol) vol.121 
Number (no) no.306 
Page pp.23-28 
#Pages
Date of Issue 2021-12-09 (SANE) 


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