講演抄録/キーワード |
講演名 |
2018-11-09 11:50
Maritime Domain Awareness (MDA): Ship Detection by Spaceborne Synthetic Aperture Radar ○Kazuo Ouchi(KIOST)・Gerard M. Martin(GMV)・Chan-Su Yang(KIOST) SANE2018-89 |
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%. |
(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 / / / / / |
(英) |
Maritime Main Awareness (MDA) / Ship Detection / Classification / / / / / |
文献情報 |
信学技報, vol. 118, no. 287, SANE2018-89, pp. 165-169, 2018年11月. |
資料番号 |
SANE2018-89 |
発行日 |
2018-11-01 (SANE) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SANE2018-89 |
|