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Paper Abstract and Keywords
Presentation 2022-02-25 10:55
Acceleration of local histogram generation for change detections in satellite SAR images using CPU-integrated graphics processor
Masato Gocho (Mitsubishi Electric), Kazunori Ueda (Waseda Univ.) SANE2021-101
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents OpenCL-based parallel implementations with CPU-integrated graphics processors for change detection algorithms in multi-temporal SAR images. In this algorithm, a histogram-based statistical value is generated from each subimage, which is centered around each pixel on SAR images, to judge whether the pixel is changed or not. To reduce the computation time, the generated histogram can be reused and updated using non-overlapped pixels between subimages that have same ranges of the pixel values. In the proposed algorithm, SAR images are subdivided with many subgroups of 16 work-items, and the 16 items cooperatively compute the 16 statistical values one by one by updating the histograms until the range of pixel values is changed. We found that the CPU-integrated GPU on the Core i7 processor takes 56 seconds, which is 7.6 times faster than the 4-threaded CPU, for two ALOS-2 images with 37305x26811 pixels.
Keyword (in Japanese) (See Japanese page) 
(in English) SAR image / change detection / histogram / integrated graphics processor / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 378, SANE2021-101, pp. 21-25, Feb. 2022.
Paper # SANE2021-101 
Date of Issue 2022-02-17 (SANE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 SAT SANE  
Conference Date 2022-02-24 - 2022-02-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite technology, etc. 
Paper Information
Registration To SANE 
Conference Code 2022-02-SAT-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of local histogram generation for change detections in satellite SAR images using CPU-integrated graphics processor 
Sub Title (in English)  
Keyword(1) SAR image  
Keyword(2) change detection  
Keyword(3) histogram  
Keyword(4) integrated graphics processor  
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1st Author's Name Masato Gocho  
1st Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
2nd Author's Name Kazunori Ueda  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2022-02-25 10:55:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2021-101 
Volume (vol) vol.121 
Number (no) no.378 
Page pp.21-25 
#Pages
Date of Issue 2022-02-17 (SANE) 


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