과제정보
본 논문은 해양수산부 재원으로 선박해양플랜트연구소의 주요사업인 "해양사고 신속 탐지 식별을 위한 머신러닝 기반의 초분광 영상분석 기술 개발"에 의해 수행되었습니다(PES4460). 데이터 분석에 도움을 주신 (주) 시즌 연구원분들과 항공 촬영에 도움을 주신 (주) 아세아항측 및 현장 실험에 참여한 본 연구소 연구원분들께 감사드립니다.
참고문헌
- An, K., J.-S. Jeong, I.-C. Kim, and D.-B. Kim(2020), The Current Status of Domestic Marine Salvage Industry and Measures for its Promotion, Journal of the Korean Society of Marine Environment & Safety, Vol. 26, No. 2, pp. 149-155. https://doi.org/10.7837/kosomes.2020.26.2.149
- Angelliaume, S., X. Ceamanos, F. Viallefront-Robinet, R. Baque, P. Deliot, and V. Miegebielle(2017), Hyperspectral and Radar Airborne Imagery over Controlled Release of Oil at Sea, Sensors, Vol. 17, 1772.
- Jansen, R. W., R. G. Raj, L. Rosenberg, and M. A. Sletten(2018), Practical Multichannel SAR Imaging in the Maritime Environment, IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, pp. 4025-4036. https://doi.org/10.1109/TGRS.2018.2820911
- Kanjir, U., H. Greidanus, and K. Ostir(2018), Vessel Detection and Classification from Spaceborne Optical Images: A Literature Survey, Remote Sensing of Environment, Vol. 207, pp 1-26. https://doi.org/10.1016/j.rse.2017.12.033
- KMST(2022), Korea Maritime Safety Tribunal, The 2022 Statistics of Marine Accidents, https://www.kmst.go.kr (Accessed 10 Nov. 2022).
- Li, H., L. Chem, F. Li, and M. Huang(2019), Ship Detection and Tracking Method for Satellite Video based on Multiscale Saliency and Surrounding Contrast Analysis, Journal of Applied Remote Sensing, Vol. 13, 026511.
- Park, J.-J., T.-S. Kim, K.-A. Park, S. Oh, M. Lee, and P.-Y. Foucher(2020), Application of Spectral Mixture Analysis to Vessel Monitoring Using Airborne Hyperspectral Data, Remote Sensing, Vol. 12, 2968. https://doi.org/10.3390/rs12182968
- Seo, D., S. Oh, and D. Lee(2022), Classification and Identification of Spectral Pixels with Low Maritime Occupancy Using Unsupervised Machine Learning, Remote Sensing, Vol. 14, 1828. https://doi.org/10.3390/rs14081828
- Sletten, M. A., L. Rosenberg, S. Menk, J. V. Toporkov, and R. W. Jansen(2016), Maritime Signature Correction with the NRL Multichannel SAR, IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, pp. 6783-6790. https://doi.org/10.1109/TGRS.2016.2590958
- Veenstra, T. S. and J. H. Churnside(2012), Airborne sensors for Detecting Large Marine Debris at Sea, Marine Pollution Bulletin, Marine Pollution Bulletin, Vol. 65, pp. 63-68. https://doi.org/10.1016/j.marpolbul.2010.11.018
- Yan, L., M. Yamaguchi, N. Noro, Y. Takara, and F. Ando(2019), A Novel Two-stage Deep Learning-based Small-object Detection using Hyperspectral Images, Optical Review, Vol. 26, pp. 597-606. https://doi.org/10.1007/s10043-019-00528-0
- Yu, W., H. You, P. Lv, Y. Hu, and B. Han(2021), A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satelite, Sensors, Vol. 21, 7547. https://doi.org/10.3390/s21227547
- Zhu, D., X. Wang, Y. Cheng, and G. Li(2021), Vessel Target Detection in Spaceborne-Airborne Collaborative SAR Images via Proposal and Polarization Fusion, Vol. 13, 3957.