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Paper Abstract and Keywords
Presentation 2024-03-11 10:50
Spatiotemporal Prediction and Anomaly Detection in Polarimetric Synthetic Aperture Radar Using Quaternion Reservoir Computing
Kitoshi Kawai, Bungo Konishi, Ryo Natsuaki, Akira Hirose (UTokyo.) NC2023-44
Abstract (in Japanese) (See Japanese page) 
(in English) Synthetic aperture radar (SAR) is a remote sensing technology that uses microwaves to generate high-resolution images of the earth's surface. Polarimetric SAR (PolSAR), which incorporates polarization information, allows for the observation of the earth's surface characteristics and conditions. PolSAR has been advancing in various applications, including agricultural analysis, disaster management, and deforestation monitoring. As the volume of PolSAR data increases, there is a need for methods to interpret spatiotemporal information. This paper proposes Quaternion reservoir computing (QRC) for predicting PolSAR spatiotemporal data. We demonstrate that QRC performs better than conventional real-valued reservoir computing in the context of anomaly detection in a seasonally dependent rural area. This finding suggests that our QRC is adept at detecting surface changes while considering seasonality. Our methods are applicable to vast areas including disaster monitoring and environmental assessment.
Keyword (in Japanese) (See Japanese page) 
(in English) Reservoir computing / Quaternion / Polarimetric synthetic aperature radar / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 418, NC2023-44, pp. 7-12, March 2024.
Paper # NC2023-44 
Date of Issue 2024-03-04 (NC) 
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 NC2023-44

Conference Information
Committee NC MBE  
Conference Date 2024-03-11 - 2024-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) The Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Brain architecture, General 
Paper Information
Registration To NC 
Conference Code 2024-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Spatiotemporal Prediction and Anomaly Detection in Polarimetric Synthetic Aperture Radar Using Quaternion Reservoir Computing 
Sub Title (in English)  
Keyword(1) Reservoir computing  
Keyword(2) Quaternion  
Keyword(3) Polarimetric synthetic aperature radar  
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1st Author's Name Kitoshi Kawai  
1st Author's Affiliation The University of Tokyo (UTokyo.)
2nd Author's Name Bungo Konishi  
2nd Author's Affiliation The University of Tokyo (UTokyo.)
3rd Author's Name Ryo Natsuaki  
3rd Author's Affiliation The University of Tokyo (UTokyo.)
4th Author's Name Akira Hirose  
4th Author's Affiliation The University of Tokyo (UTokyo.)
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Speaker Author-1 
Date Time 2024-03-11 10:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2023-44 
Volume (vol) vol.123 
Number (no) no.418 
Page pp.7-12 
#Pages 6 
Date of Issue 2024-03-04 (NC) 

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