Feasibility of Ship Detection and Tracking Using GOCI-II Images
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Title
- Feasibility of Ship Detection and Tracking Using GOCI-II Images
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Author(s)
- Jang, Yeong Jae; Kim, Keunyong; Baek, Won Kyung; Ahn, Jae Hyun; Ryu, Joo Hyung
- KIOST Author(s)
- Jang, Yeong Jae(장영재); Kim, Keunyong(김근용); Baek, Won Kyung(백원경); Ahn, Jae Hyun(안재현); Ryu, Joo Hyung(유주형)
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Alternative Author(s)
- 장영재; 김근용; 백원경; 안재현; 유주형
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Publication Year
- 2024-06
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Abstract
- The availability of high-resolution synthetic aperture radar (SAR), optical, radio frequency (RF), and other types of satellite imagery has improved, accelerating their utility in maritime monitoring (e.g., ship detection and tracking). Although high-resolution images from polar orbit satellites are considered for ship detection, their application is limited by the long revisit cycles of the satellites. The geostationary ocean color imager (GOCI-II), a geostationary ocean color satellite of South Korea (resolution of 250 m), overcomes this limitation by observing the waters that surround Northeast Asia every 1 h (10 times a day). This study investigates the feasibility and effectiveness of GOCI-II satellite imagery for ship detection, based on the near-infrared band. We tested the possibility of ship trajectory monitoring using multitemporal GOCI-II data. The testbeds for the ship detection effectiveness of GOCI-II were Busan, Yeosu, and Jeju in South Korea. The results indicated a few false detections because the automatic identification system (AIS) time did not match the threshold-section setting. However, several large and small ships were detected, with a major axis for each class. The detection rates for Busan (excluding the ships moored in ports) and Yeosu were 27 and 29.5%, respectively, confirmed through comparisons with the AIS data. Multitemporal ship detection and tracking was applied to a 50,000-ton ship navigating near Jeju Island, with an accuracy of 0–3 pixels. Furthermore, the possibility of detecting small ships (30-m class) was verified. This study can contribute to a paradigm shift in satellite-based ship monitoring by integrating high-resolution satellite imagery.
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ISSN
- 1738-5261
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URI
- https://sciwatch.kiost.ac.kr/handle/2020.kiost/45457
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DOI
- 10.1007/s12601-024-00141-6
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Bibliographic Citation
- Ocean Science Journal, v.59, no.2, 2024
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Publisher
- 한국해양과학기술원
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Keywords
- Geostationary ocean color imager (GOCI-II); Geostationary orbit satellite; Marine surveillance; Real-time ship tracking; Ship detection
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Type
- Article
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Language
- English
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