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- Title
Study on the Classification Perception and Visibility Enhancement of Ship Navigation Environments in Foggy Conditions.
- Authors
Wang, Chiming; Fan, Boyan; Li, Yanan; Xiao, Jingjing; Min, Lanxi; Zhang, Jing; Chen, Jiuhu; Lin, Zhong; Su, Sunxin; Wu, Rongjiong; Zhu, Shunzhi
- Abstract
Based on ship navigational requirements and safety in foggy conditions and with a particular emphasis on avoiding ship collisions and improving navigational abilities, we constructed a fog navigation dataset along with a new method for enhancing foggy images and perceived visibility using a discriminant deep learning architecture and the EfficientNet neural network by replacing the SE module and incorporating a convolution block attention module and focal loss function. The accuracy of our model exceeded 95%, which meets the needs of an intelligent ship navigation environment in foggy conditions. As part of our research, we also determined the best enhancement algorithm for each type of fog according to its classification.
- Subjects
NAVIGATION in shipping; DEEP learning; COLLISIONS at sea; CLASSIFICATION; NAVIGATION; IMAGE intensifiers
- Publication
Journal of Marine Science & Engineering, 2023, Vol 11, Issue 7, p1298
- ISSN
2077-1312
- Publication type
Article
- DOI
10.3390/jmse11071298