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Paper Abstract and Keywords
Presentation 2009-05-29 13:30
A Novel Method of Ship Detection by Applying CFAR to Coherence Images Produced by Multi-Look SAR Cross-Correlation Technique
Seong-In Hwang, Kazuo Ouchi (NDA) SANE2009-8
Abstract (in Japanese) (See Japanese page) 
(in English) MLCC (Multi-Look Cross-Correlation) is an useful technique to extract the images of ships embedded in sea clutter from SAR (Synthetic Aperture Radar) data. In our previous study, we could extract an “invisible” small boat in the ALOS-PALSAR (Advanced Land Observing Satellite-Phased Array L-band SAR) amplitude image. However, when, after applying MLCC, some highly correlated noises from sea surface were present in the inter-look coherence image, SNR (Signal to Noise Ratio) decreased, and the FAR (False Alarm Rate) increased. Consequently, detection of ships by the MLCC method alone became increasingly difficult. In order to improve the SNR nad to keep low FAR for ship detection , we propose a new method by applying CFAR to MLCC coherence images. In this paper, we summarize the algorithm and the experimental result, improvement of SNR 31.1dB and FAR decreasing $1.67 \times 10^{-3}$.
Keyword (in Japanese) (See Japanese page) 
(in English) Ship detection / SAR / MLCC-Gamma-CFAR / FAR / SNR / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 69, SANE2009-8, pp. 1-6, May 2009.
Paper # SANE2009-8 
Date of Issue 2009-05-22 (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)
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Conference Information
Committee SANE  
Conference Date 2009-05-29 - 2009-05-29 
Place (in Japanese) (See Japanese page) 
Place (in English) National Defense Academy of Japan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing and general 
Paper Information
Registration To SANE 
Conference Code 2009-05-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Novel Method of Ship Detection by Applying CFAR to Coherence Images Produced by Multi-Look SAR Cross-Correlation Technique 
Sub Title (in English)  
Keyword(1) Ship detection  
Keyword(2) SAR  
Keyword(3) MLCC-Gamma-CFAR  
Keyword(4) FAR  
Keyword(5) SNR  
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Keyword(7)  
Keyword(8)  
1st Author's Name Seong-In Hwang  
1st Author's Affiliation National Defense Academy (NDA)
2nd Author's Name Kazuo Ouchi  
2nd Author's Affiliation National Defense Academy (NDA)
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Speaker Author-1 
Date Time 2009-05-29 13:30:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2009-8 
Volume (vol) vol.109 
Number (no) no.69 
Page pp.1-6 
#Pages 6 
Date of Issue 2009-05-22 (SANE) 

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