지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제45권 제6호
- 발행연도
- 2021.12
- 수록면
- 418 - 424 (7page)
- DOI
- 10.5916/jamet.2021.45.6.418
이용수
초록· 키워드
오류제보하기
The ocean covers approximately 71% of the total surface area of Earth and plays a significant role in maintaining the environment and ecosystems. Oil spills are the largest source of pollution in the ocean, mainly Bunker C oil and diesel oil used as vessel fuels. Therefore, oil spill detection is essential for marine protection, which motivated this study. Detection with radar, which is based on electromagnetic waves, is achieved using satellite synthetic aperture radar (SAR); thus, real-time detection over a small range is difficult. Hence, in this study, an oil spill detection system based on thermal imaging using a long-wave infrared (LWIR) camera is proposed. The oil spill detection algorithm utilizes the You Only Look Once (YOLO) model, which is widely used for object detection. In addition, 1,644 thermal images were labeled to evaluate the proposed system. The training and test results showed an accuracy of 96.91% and false alarm rate of 8.33%. An improved detection performance can be expected from subsequent experiments using larger image datasets.
목차
Abstract
1. Introduction
2. Related Work
3. Oil Spill Detection System with LWIR Camera
4. Experiment and Evaluation
5. Conclusion
References
참고문헌 (15)
참고문헌 신청
W. -G. Jhang / 2012 / Advancement of land-based pollutant management system
H. -M. Park / 2021 / Predicting sentence of ship acci-dent using an attention mechanism based multi-task learn-ing model / Proceedings of The Korean Institute of Infor-mation Scientist and Engineers :448~450
D. -S. Kim / 2017 / Oil spill detection from dual-polarized SAR images using artificial neural network
박호민 / 2020 / Deep learning–based drone detection with SWIR cameras / 한국마린엔지니어링학회지 44(6):500~506
J. Redmon / 2016 / You only look once : unified, real-time object detection / Pro-ceedings of the IEEE Conference on Computer Vision and Pattern Recognition :779~788
H. -M. Park / 2021 / Predicting sentence of ship acci-dent using an attention mechanism based multi-task learn-ing model / Proceedings of The Korean Institute of Infor-mation Scientist and Engineers :448~450
D. -S. Kim / 2017 / Oil spill detection from dual-polarized SAR images using artificial neural network
박호민 / 2020 / Deep learning–based drone detection with SWIR cameras / 한국마린엔지니어링학회지 44(6):500~506
J. Redmon / 2016 / You only look once : unified, real-time object detection / Pro-ceedings of the IEEE Conference on Computer Vision and Pattern Recognition :779~788
이 논문의 저자 정보
이 논문과 함께 이용한 논문
Identifying threatening drone based on deep learning with SWIR camera
Kyung-Soo Pa
,
k
,
Jung-Kn Kim
외 2명
Journal of Advanced Marine Engineering and Technology (JAMET)
2022
.12
[ICACE2022] Prediction of container vessel waiting time in Busan port using LSTM neural network
Hyeonsoo Shin
,
Chiyeol Kim
,
Hwanseong Kim
Journal of Advanced Marine Engineering and Technology (JAMET)
2022
.12
Improving colorization through denoiser with MLP
Chae-
,
im Pa
,
k
외 2명
Journal of Advanced Marine Engineering and Technology (JAMET)
2022
.04
[ISMT2021] Object detection in high-resolution sonar images
Min-Seok Choi
,
Young-Seock Oh
,
Seung-Soo Pa
외 2명
Journal of Advanced Marine Engineering and Technology (JAMET)
2022
.02
Fatigue analysis of a hydraulic accumulator under severe working conditions
Do-Soo Kwon
,
Quang Dao Vuong
,
Van Chien Pham
외 6명
Journal of Advanced Marine Engineering and Technology (JAMET)
2021
.10
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2022-559-000156752