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Paper Abstract and Keywords
Presentation 2024-10-17 15:20
Evaluation of NDVI Estimation with Polarization Parameters Using Dual Polarization SAR Data
Raiki Kudo (UTokyo), Seisuke Fukuda (JAXA) SANE2024-33
Abstract (in Japanese) (See Japanese page) 
(in English) Full polarimetric SAR, which requires two types of transmitted polarization, provides detailed polarization information on scattered signals. However, it has the problem that the observation width is limited to about half that of SAR with single-polarization transmission. As a result, observation opportunities are very limited.
Dual-pol SAR is a system that transmits in one polarization and receives in two polarizations, and it is possible to acquire polarization information without being restricted by the observation width.
As represented by the Sentinel-1 satellite, dual-pol SAR data is provided at high frequency, and its application in the agricultural field is progressing.
This research estimates the NDVI, an optical index that expresses the activity level of vegetation, from dual-pol SAR data.
In this study, we show that when using machine learning to automatically extract features, it is necessary and sufficient to add the Stokes vector itself as input, rather than the conventional polarization parameters.
In addition, we clarify the contribution of the $g_2$ and $g_3$ components of the Stokes vector to NDVI estimation, which are not included in the products widely used in remote sensing applications.
As a result, it is hoped that more accurate vegetation monitoring methods will be established for agricultural applications using dual-pol SAR data.
Keyword (in Japanese) (See Japanese page) 
(in English) Synthetic Aperture Radar / NDVI / dual-pol SAR / POLSAR / stokes vector / Machine learning / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 209, SANE2024-33, pp. 25-30, Oct. 2024.
Paper # SANE2024-33 
Date of Issue 2024-10-10 (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 SANE2024-33

Conference Information
Committee SANE  
Conference Date 2024-10-17 - 2024-10-18 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Toyama 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radar Image Processing, Electromagnetic Wave Measurements, and generals 
Paper Information
Registration To SANE 
Conference Code 2024-10-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of NDVI Estimation with Polarization Parameters Using Dual Polarization SAR Data 
Sub Title (in English)  
Keyword(1) Synthetic Aperture Radar  
Keyword(2) NDVI  
Keyword(3) dual-pol SAR  
Keyword(4) POLSAR  
Keyword(5) stokes vector  
Keyword(6) Machine learning  
Keyword(7)  
Keyword(8)  
1st Author's Name Raiki Kudo  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Seisuke Fukuda  
2nd Author's Affiliation Japan Aerospace Exploration Agency (JAXA)
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Speaker Author-1 
Date Time 2024-10-17 15:20:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2024-33 
Volume (vol) vol.124 
Number (no) no.209 
Page pp.25-30 
#Pages 6 
Date of Issue 2024-10-10 (SANE) 

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