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Paper Abstract and Keywords
Presentation 2015-11-27 14:00
[Poster Presentation] Recursive Ensemble Land Cover Classification for Few Training Data and Many Class
Yu Oya, Katsutoshi Kanamori, Hayato Ohwada (TUS) IBISML2015-77
Abstract (in Japanese) (See Japanese page) 
(in English) Many global and environmental applications require land use and land cover information. A land cover classification is one of the remote sensing image analysis and constructs a land use map. However, Supervised learning requires a lot of training data because there are a lot of features within hyper-spectrum data. Therefore, it is difficult for unknown and uncontrolled forest to classify a wide variety of land cover. This study proposed new land cover classification which generates self-training data to predict whether classification results are correct. As a result, despite few training and feature, this study showed as high accuracy and many class as the others supervised learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Land cover classification / Ensemble learning / Self-training / Multi-spectrum data / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 323, IBISML2015-77, pp. 183-188, Nov. 2015.
Paper # IBISML2015-77 
Date of Issue 2015-11-19 (IBISML) 
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 IBISML2015-77

Conference Information
Committee IBISML  
Conference Date 2015-11-25 - 2015-11-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Epochal Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information-Based Induction Science Workshop (IBIS2015) 
Paper Information
Registration To IBISML 
Conference Code 2015-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recursive Ensemble Land Cover Classification for Few Training Data and Many Class 
Sub Title (in English)  
Keyword(1) Land cover classification  
Keyword(2) Ensemble learning  
Keyword(3) Self-training  
Keyword(4) Multi-spectrum data  
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1st Author's Name Yu Oya  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Katsutoshi Kanamori  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Hayato Ohwada  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2015-11-27 14:00:00 
Presentation Time 180 minutes 
Registration for IBISML 
Paper # IBISML2015-77 
Volume (vol) vol.115 
Number (no) no.323 
Page pp.183-188 
#Pages 6 
Date of Issue 2015-11-19 (IBISML) 

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