| 講演名 | 2019-10-31 Estimation of Ship Velocity from Multispectral Satellite Image Tae-Ho Kim(KIOST), JeongJu Bae(KIOST), Chan-Su Yang(KIOST), |
|---|---|
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| 抄録(和) | In this study, we present the estimation results of ship velocity using a multispectral satellite image. In the case of moving ship, its position in a satellite image varies at each band due to the time offsets of multiple bands. We have proposed an algorithm for estimating the ship velocity using these characteristics. The red and blue band data of the Sentinel-2 satellites used, and the reference point for distance calculation was set using the template matching method with the highest cross-correlation. As a result of estimating the velocity of the same ship, the satellite-based method showed a velocity of 15.91 m/s, and the AIS was 19.86 m/s. In this paper, we compared the estimated speeds for only one ship. In satellite imagery, the reflection from ships may be affected by ship size, speed, direction, and maritime conditions. Therefore, verification of the speed estimation result under various states should be performed. The results of this study are expected to be able to determine the information of multiple ships using a single satellite. |
| 抄録(英) | In this study, we present the estimation results of ship velocity using a multispectral satellite image. In the case of moving ship, its position in a satellite image varies at each band due to the time offsets of multiple bands. We have proposed an algorithm for estimating the ship velocity using these characteristics. The red and blue band data of the Sentinel-2 satellites used, and the reference point for distance calculation was set using the template matching method with the highest cross-correlation. As a result of estimating the velocity of the same ship, the satellite-based method showed a velocity of 15.91 m/s, and the AIS was 19.86 m/s. In this paper, we compared the estimated speeds for only one ship. In satellite imagery, the reflection from ships may be affected by ship size, speed, direction, and maritime conditions. Therefore, verification of the speed estimation result under various states should be performed. The results of this study are expected to be able to determine the information of multiple ships using a single satellite. |
| キーワード(和) | Ship velocity / Sentinel-2 image / Multispectral satellite image / Deep learning |
| キーワード(英) | Ship velocity / Sentinel-2 image / Multispectral satellite image / Deep learning |
| 資料番号 | SANE2019-54 |
| 発行日 | 2019-10-24 (SANE) |
| 研究会情報 | |
| 研究会 | SANE |
|---|---|
| 開催期間 | 2019/10/31(から2日開催) |
| 開催地（和） | 韓国（済州島） |
| 開催地（英） | KOREA (Jeju) |
| テーマ（和） | ICSANE2019 |
| テーマ（英） | ICSANE2019 |
| 委員長氏名（和） | 灘井 章嗣(NICT) |
| 委員長氏名（英） | Akitsugu Nadai(NICT) |
| 副委員長氏名（和） | 山田 寛喜(新潟大) / 田中 真(東海大) |
| 副委員長氏名（英） | Hiroyoshi Yamada(Niigata Univ.) / Makoto Tanaka(Tokai Univ.) |
| 幹事氏名（和） | 秋田 学(電通大) / 網嶋 武(三菱電機) |
| 幹事氏名（英） | Manabu Akita(Univ. of Electro-Comm.) / Takeshi Amishima(Mitsubishi Electric) |
| 幹事補佐氏名（和） | 夏秋 嶺(東大) / 山梨 正人(三菱スペース・ソフトウエア) / 二ッ森 俊一(電子航法研) |
| 幹事補佐氏名（英） | Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Shunichi Futatsumori(ENRI) |
| 講演論文情報詳細 | |
| 申込み研究会 | Technical Committee on Space, Aeronautical and Navigational Electronics |
|---|---|
| 本文の言語 | ENG |
| タイトル（和） | |
| サブタイトル（和） | |
| タイトル（英） | Estimation of Ship Velocity from Multispectral Satellite Image |
| サブタイトル（和） | |
| キーワード(1)（和/英） | Ship velocity / Ship velocity |
| キーワード(2)（和/英） | Sentinel-2 image / Sentinel-2 image |
| キーワード(3)（和/英） | Multispectral satellite image / Multispectral satellite image |
| キーワード(4)（和/英） | Deep learning / Deep learning |
| 第 1 著者 氏名（和/英） | Tae-Ho Kim / Tae-Ho Kim |
| 第 1 著者 所属（和/英） | Korea Institute of Ocean Science & Technology(略称：KIOST) Korea Institute of Ocean Science & Technology(略称：KIOST) |
| 第 2 著者 氏名（和/英） | JeongJu Bae / JeongJu Bae |
| 第 2 著者 所属（和/英） | Korea Institute of Ocean Science & Technology(略称：KIOST) Korea Institute of Ocean Science & Technology(略称：KIOST) |
| 第 3 著者 氏名（和/英） | Chan-Su Yang / Chan-Su Yang |
| 第 3 著者 所属（和/英） | Korea Institute of Ocean Science & Technology(略称：KIOST) Korea Institute of Ocean Science & Technology(略称：KIOST) |
| 発表年月日 | 2019-10-31 |
| 資料番号 | SANE2019-54 |
| 巻番号（vol） | vol.119 |
| 号番号（no） | SANE-255 |
| ページ範囲 | pp.37-40(SANE), |
| ページ数 | 4 |
| 発行日 | 2019-10-24 (SANE) |