| 講演名 | 2018-11-09 Maritime Domain Awareness (MDA): Ship Detection by Spaceborne Synthetic Aperture Radar Kazuo Ouchi(KIOST), Gerard M. Martin(GMV), Chan-Su Yang(KIOST), |
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| 抄録(和) | In recent years, Maritime Main Awareness (MDA) has attracted much attention. One of the important issues of MDA is ship detection and classification by spaceborne synthetic aperture radar (SAR) for its all-weather and day-and-night imaging capabilities on a global scale. Here, in this paper, we present examples of ship detection and classification using TerraSAR-X HH/VV dual-polarization data over the Tokyo Bay, Japan and Alboran Sea in Mediterranean Sea. For ship detection, comparison is made with mean image contrast among the different algorithms, including the intensities, inter-polarization coherence, entropy, and HH-VV phase difference. For ship classification, the Ship Monitoring Service (SIMONS) developed by the author (G. M. Martin) is used. Ground-truth data were collected for validation using the simultaneous AIS (Automatic Identification) data and visual observation with a video camera (only AIS data in the Alboran Sea). Although the numbers of samples were limited, the results of 29 ships showed that the highest image contrast was obtained with coherence (0.92), followed by entropy (0.79), and phase difference (0.73), outperforming the intensity alone (about 0.25). The classification accuracy using 19 ships with AIS data was 80%. |
| 抄録(英) | In recent years, Maritime Main Awareness (MDA) has attracted much attention. One of the important issues of MDA is ship detection and classification by spaceborne synthetic aperture radar (SAR) for its all-weather and day-and-night imaging capabilities on a global scale. Here, in this paper, we present examples of ship detection and classification using TerraSAR-X HH/VV dual-polarization data over the Tokyo Bay, Japan and Alboran Sea in Mediterranean Sea. For ship detection, comparison is made with mean image contrast among the different algorithms, including the intensities, inter-polarization coherence, entropy, and HH-VV phase difference. For ship classification, the Ship Monitoring Service (SIMONS) developed by the author (G. M. Martin) is used. Ground-truth data were collected for validation using the simultaneous AIS (Automatic Identification) data and visual observation with a video camera (only AIS data in the Alboran Sea). Although the numbers of samples were limited, the results of 29 ships showed that the highest image contrast was obtained with coherence (0.92), followed by entropy (0.79), and phase difference (0.73), outperforming the intensity alone (about 0.25). The classification accuracy using 19 ships with AIS data was 80%. |
| キーワード(和) | Maritime Main Awareness (MDA) / Ship Detection / Classification |
| キーワード(英) | Maritime Main Awareness (MDA) / Ship Detection / Classification |
| 資料番号 | SANE2018-89 |
| 発行日 | 2018-11-01 (SANE) |
| 研究会情報 | |
| 研究会 | SANE |
|---|---|
| 開催期間 | 2018/11/7(から3日開催) |
| 開催地（和） | 中国（許昌市） |
| 開催地（英） | China (Xuchang) |
| テーマ（和） | ICSANE2018 |
| テーマ（英） | ICSANE2018 |
| 委員長氏名（和） | 福島 荘之介(電子航法研) |
| 委員長氏名（英） | Sonosuke Fukushima(ENRI) |
| 副委員長氏名（和） | 森山 敏文(長崎大) / 灘井 章嗣(NICT) |
| 副委員長氏名（英） | Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT) |
| 幹事氏名（和） | 毛塚 敦(電子航法研) / 秋田 学(電通大) |
| 幹事氏名（英） | Atsushi Kezuka(ENRI) / Manabu Akita(Univ. of Electro-Comm.) |
| 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) / 網嶋 武(三菱電機) |
| 幹事補佐氏名（英） | Ryo Natsuaki(Univ. of Tokyo) / Masato Yamanashi(Mitsubishi Space Software) / Takeshi Amishima(Mitsubishi Electric) |
| 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） | Maritime Domain Awareness (MDA): Ship Detection by Spaceborne Synthetic Aperture Radar |
| サブタイトル（和） | |
| キーワード(1)（和/英） | Maritime Main Awareness (MDA) / Maritime Main Awareness (MDA) |
| キーワード(2)（和/英） | Ship Detection / Ship Detection |
| キーワード(3)（和/英） | Classification / Classification |
| 第 1 著者 氏名（和/英） | Kazuo Ouchi / Kazuo Ouchi |
| 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） | Gerard M. Martin / Gerard M. Martin |
| 第 2 著者 所属（和/英） | GMV Aerospace and Defense(略称：GMV) GMV Aerospace and Defense(略称：GMV) |
| 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 | 2018-11-09 |
| 資料番号 | SANE2018-89 |
| 巻番号（vol） | vol.118 |
| 号番号（no） | SANE-287 |
| ページ範囲 | pp.165-169(SANE), |
| ページ数 | 5 |
| 発行日 | 2018-11-01 (SANE) |