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Paper Abstract and Keywords
Presentation 2015-08-28 15:10
[Invited Lecture] Proposal of Synthetic Aperture Radar Information Structurization by Using Neural Networks
Satoshi Tsuda, Akira Hirose (Univ. Tokyo) AP2015-77 SANE2015-39
Abstract (in Japanese) (See Japanese page) 
(in English) Recent earth observation data gathered by satellite-borne synthetic aperture radar (SAR) systems grow very rapidly. For extensive utilization of the data, we propose the structurization of the gathered data into an easy-to-use form. We employ convolutional neural networks to extract landscape features to realize automatic classification of local areas based on terrain features obtained in interferometric SAR (InSAR) images. This technical report shows a successful classification, which is the first step of total structurization.
Keyword (in Japanese) (See Japanese page) 
(in English) synthetic aperture radar / complex-valued neural network / convolutional neural network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 200, SANE2015-39, pp. 31-36, Aug. 2015.
Paper # SANE2015-39 
Date of Issue 2015-08-20 (AP, SANE) 
ISSN Print edition: ISSN 0913-5685    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 AP2015-77 SANE2015-39

Conference Information
Committee AP SANE  
Conference Date 2015-08-27 - 2015-08-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Ibaragi Univ. Mito Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote Sensing, Antennas and Propagation, Student Session 
Paper Information
Registration To SANE 
Conference Code 2015-08-AP-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Synthetic Aperture Radar Information Structurization by Using Neural Networks 
Sub Title (in English)  
Keyword(1) synthetic aperture radar  
Keyword(2) complex-valued neural network  
Keyword(3) convolutional neural network  
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1st Author's Name Satoshi Tsuda  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Akira Hirose  
2nd Author's Affiliation The University of Tokyo (Univ. Tokyo)
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Speaker Author-1 
Date Time 2015-08-28 15:10:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # AP2015-77, SANE2015-39 
Volume (vol) vol.115 
Number (no) no.199(AP), no.200(SANE) 
Page pp.95-100(AP), pp.31-36(SANE) 
#Pages 6 
Date of Issue 2015-08-20 (AP, SANE) 

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