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Paper Abstract and Keywords
Presentation 2022-12-16 10:45
Machine learning for global detection of photovoltaic panel installation using Landsat-8 Imagery
Ryo Ito, Ryu Sugimoto, Chiaki Tsutsumi, Ryosuke Nakamura (AIST) SANE2022-77
Abstract (in Japanese) (See Japanese page) 
(in English) Nowadays, free-and-open medium-resolution satellite imagery can be utilized for sustainable monitoring of global changes. In this study, we investigate a method to detect and identify solar panels installed during two periods from Landsat8 imagery. In recent years, AI such as deep learning has been considered one of the monitoring methods. However, medium-resolution satellite imagery has some unique characteristics that become advantages and disadvantages compared to aerial imagery when applying AI. In the case of Landsat-8 imagery, it has multiple bands outside the visible range, but the 30m spatial resolution sometimes can obscure the shapes of features. In this study, we introduce several approaches based on these characteristics.
Keyword (in Japanese) (See Japanese page) 
(in English) image identification / sateｌlite image / Deep Learning / CNN / Landsat8 / solar panel / global changes / land cover change  
Reference Info. IEICE Tech. Rep., vol. 122, no. 312, SANE2022-77, pp. 74-76, Dec. 2022.
Paper # SANE2022-77 
Date of Issue 2022-12-08 (SANE) 
ISSN 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 SANE2022-77

Conference Information
Committee SANE  
Conference Date 2022-12-15 - 2022-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Public Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ICSANE 
Paper Information
Registration To SANE 
Conference Code 2022-12-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Machine learning for global detection of photovoltaic panel installation using Landsat-8 Imagery 
Sub Title (in English)  
Keyword(1) image identification  
Keyword(2) sateｌlite image  
Keyword(3) Deep Learning  
Keyword(4) CNN  
Keyword(5) Landsat8  
Keyword(6) solar panel  
Keyword(7) global changes  
Keyword(8) land cover change  
1st Author's Name Ryo Ito  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Ryu Sugimoto  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Chiaki Tsutsumi  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
4th Author's Name Ryosuke Nakamura  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2022-12-16 10:45:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2022-77 
Volume (vol) vol.122 
Number (no) no.312 
Page pp.74-76 
#Pages 3 
Date of Issue 2022-12-08 (SANE) 

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