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| Paper Abstract and Keywords | ||
| Presentation | 2019-09-13 14:45 Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera Tomofumi Kitamura, Kenji Kobayashi (JMA), Yoshinori Mizuno (MRI), Masato Mori, Shinichi Miyatake, Kazuyuki Shibuya (JMA)  AI2019-22 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We have been developing a snow depth estimation algorithm using an observation environment monitoring camera that will be installed for the purpose of managing the AMeDAS observatory. In this study, we have introduced the AI models used for snow depth estimations and the method of creating training data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Snow depth / Image Analysis / Machine Learning / Weather Observation / AMeDAS / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 202, AI2019-22, pp. 19-24, Sept. 2019. | |
| Paper # | AI2019-22 | |
| Date of Issue | 2019-09-06 (AI) | |
| 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 | AI2019-22 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2019-09-13 - 2019-09-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2019-09-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera |
| Sub Title (in English) | |
| Keyword(1) | Snow depth |
| Keyword(2) | Image Analysis |
| Keyword(3) | Machine Learning |
| Keyword(4) | Weather Observation |
| Keyword(5) | AMeDAS |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tomofumi Kitamura |
| 1st Author's Affiliation | Japan Meteorological Agency (JMA) |
| 2nd Author's Name | Kenji Kobayashi |
| 2nd Author's Affiliation | Japan Meteorological Agency (JMA) |
| 3rd Author's Name | Yoshinori Mizuno |
| 3rd Author's Affiliation | Meteorological Research Institute (MRI) |
| 4th Author's Name | Masato Mori |
| 4th Author's Affiliation | Japan Meteorological Agency (JMA) |
| 5th Author's Name | Shinichi Miyatake |
| 5th Author's Affiliation | Japan Meteorological Agency (JMA) |
| 6th Author's Name | Kazuyuki Shibuya |
| 6th Author's Affiliation | Japan Meteorological Agency (JMA) |
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| Speaker | Author-1 |
| Date Time | 2019-09-13 14:45:00 |
| Presentation Time | 25 minutes |
| Registration for | AI |
| Paper # | AI2019-22 |
| Volume (vol) | vol.119 |
| Number (no) | no.202 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2019-09-06 (AI) |
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