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Paper Abstract and Keywords
Presentation 2009-11-04 09:30
A novel technique for small ship detection by using MLCC and CFAR from SAR images
Seong-In Hwang, Kazuo Ouchi (National Defense Academy) SANE2009-130
Abstract (in Japanese) (See Japanese page) 
(in English) During the calibration and validation stage of ALOS-PALSAR (Advanced Land Observing Satellite-Phased Array L-band Synthetic Aperture Radar) in 2006, we examined 4 ship detection algorithms including MLCC (Multi-Look
Cross-Correlation) which is an useful technique to extract the images of ships embedded in heavy sea clutter. The result was that some boats were detected by thresholding MLCC coherence images under favourable conditions. However, it was also found that MLCC coherence images include correlated noise from sea surface and the threshold method was not suitable to automatically determine the threshold levels corresponding to desired FAR (False Alarm Rate) values. In order to overcome these problems, we propose a new and simple technique of MLCC-CFAR (or Gamma-CFAR). In this method, CFAR (Constant False Alarm Rate) is applied to inter-look coherence images produced by MLCC. We tested
this new algorithm using simulation and 4 PALSAR data, and found that the increase of SNR up to about 10 dB and the reduction of FAR by 38% on average in comparison with those by the conventional method of thresholding the coherence images. In this papaer, we summarize the MLCC-CFAR algorithm and the experimental results.
Keyword (in Japanese) (See Japanese page) 
(in English) Ship Detection / SAR / MLCC / CCF / CFAR / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 265, SANE2009-130, pp. 263-268, Nov. 2009.
Paper # SANE2009-130 
Date of Issue 2009-10-26 (SANE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 2009-11-01 - 2009-11-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Fudan University (Shanghai) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics) 
Paper Information
Registration To SANE 
Conference Code 2009-11-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A novel technique for small ship detection by using MLCC and CFAR from SAR images 
Sub Title (in English)  
Keyword(1) Ship Detection  
Keyword(2) SAR  
Keyword(3) MLCC  
Keyword(4) CCF  
Keyword(5) CFAR  
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1st Author's Name Seong-In Hwang  
1st Author's Affiliation National Defense Academy (National Defense Academy)
2nd Author's Name Kazuo Ouchi  
2nd Author's Affiliation National Defense Academy (National Defense Academy)
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Speaker Author-1 
Date Time 2009-11-04 09:30:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2009-130 
Volume (vol) vol.109 
Number (no) no.265 
Page pp.263-268 
#Pages
Date of Issue 2009-10-26 (SANE) 


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