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Paper Abstract and Keywords
Presentation 2016-11-24 14:50
Hybrid PSO and GSA-based Band Prioritization for Band Selection of High Dimensional Data Sets
Yang Lang Chang, Yung-Hao Lai, Ming-Xiu Xu, Jyh-Perng Fang (NTUT), Chihyuan Chu (G-AVE Technology Corporation) SANE2016-64
Abstract (in Japanese) (See Japanese page) 
(in English) With the progress of remote sensing technology, the numbers of bands of hyperspectral images are increased rapidly. However, it leads to the increase of the computational complexity exponentially as problem size increases. The huge data quantity also causes the curse of dimensionality, which leads to the worse accuracy. Therefore, we must reduce the data quantity in order to prevent the curse of dimensionality. In this paper, we propose a novel method, which hybrids the particle swarm optimization (PSO) and gravitational search algorithms (GSA) with impurity function band prioritization (IFBP) method, to reduce and extract the number of bands of hyperspectral images. The experimental results show that the proposed approach can not only work efficiently for reducing the dimension of data sets but also having a better classification accuracy compared to other classifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) Particle Swarm Optimization / Gravitational Search Algorithm / Impurity Function Band Prioritization / Hyperspectral Images / Multi Criteria Decision Making / Analytic Hierarchy Process / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 319, SANE2016-64, pp. 67-70, Nov. 2016.
Paper # SANE2016-64 
Date of Issue 2016-11-17 (SANE) 
ISSN Print edition: ISSN 0913-5685    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 SANE  
Conference Date 2016-11-24 - 2016-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taipei University of Technology (NTUT) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ICSANE2016 
Paper Information
Registration To SANE 
Conference Code 2016-11-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hybrid PSO and GSA-based Band Prioritization for Band Selection of High Dimensional Data Sets 
Sub Title (in English)  
Keyword(1) Particle Swarm Optimization  
Keyword(2) Gravitational Search Algorithm  
Keyword(3) Impurity Function Band Prioritization  
Keyword(4) Hyperspectral Images  
Keyword(5) Multi Criteria Decision Making  
Keyword(6) Analytic Hierarchy Process  
Keyword(7)  
Keyword(8)  
1st Author's Name Yang Lang Chang  
1st Author's Affiliation National Taipei University of technology (NTUT)
2nd Author's Name Yung-Hao Lai  
2nd Author's Affiliation National Taipei University of technology (NTUT)
3rd Author's Name Ming-Xiu Xu  
3rd Author's Affiliation National Taipei University of technology (NTUT)
4th Author's Name Jyh-Perng Fang  
4th Author's Affiliation National Taipei University of technology (NTUT)
5th Author's Name Chihyuan Chu  
5th Author's Affiliation G-AVE Technology Corporation (G-AVE Technology Corporation)
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Speaker Author-1 
Date Time 2016-11-24 14:50:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2016-64 
Volume (vol) vol.116 
Number (no) no.319 
Page pp.67-70 
#Pages 4 
Date of Issue 2016-11-17 (SANE) 

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