11   Artículos

 
en línea
Sivapriya Sethu Ramasubiramanian, Suresh Sivasubramaniyan and Mohamed Fathimal Peer Mohamed    
Detection and classification of icebergs and ships in synthetic aperture radar (SAR) images play a vital role in marine surveillance systems even though available adaptive threshold methods give satisfying results on detection and classification for ship... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Langyu Wang, Yan Zhang, Yahong Lin, Shuai Yan, Yuanyuan Xu and Bo Sun    
Aiming at the problem of insufficient feature extraction, low precision, and recall in sea surface ship detection, a YOLOv5 algorithm based on lightweight convolution and attention mechanism is proposed. We combine the receptive field enhancement module ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Shexiang Jiang and Xinrui Zhou    
In the field of ship detection, most research on lightweight models comes at the expense of accuracy. This study aims to address this challenge through a deep learning approach and proposes a model DWSC-YOLO, which is inspired by YOLOv5 and MobileNetV3. ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Penghui Zhao, Xiaoyuan Yu, Zongren Chen and Yangyan Liang    
Advanced radars and satellites, suitable for remote monitoring, inappropriately reach the economical requirements of short-range detection. Compared with far-sightedness skills, common visible-light sensors offer more ample features conducive to distingu... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Fumin Wu, Qianqian Chen, Yuanqiao Wen, Changshi Xiao and Feier Zeng    
In the field of automatic detection of ship exhaust behavior, a deep learning-based multi-sensor hierarchical detection method for tracking inland river ship chimneys is proposed to locate the ship exhaust behavior detection area quickly and accurately. ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Qianqian Chen, Changshi Xiao, Yuanqiao Wen, Mengwei Tao and Wenqiang Zhan    
Due to the high error frequency of the existing methods in identifying a ship?s navigational intention, accidents frequently occur at intersections. Therefore, it is urgent to improve the ability to perceive ship intention at intersections. In this paper... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jinhong Ding and Chongben Ni    
The shipbuilding industry demands intelligent robot, which is capable of various tasks without laborious pre-teaching or programming. Vision system guided robots could be a solution for autonomous working. This paper introduces the principle and techniqu... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yongjing Wang, Yi Wang and Xiaoliang Feng    
In this work, the ship relative integrated navigation approaches are studied for the navigation scenarios with the measurements disturbed by unknown statistical property noises and with the injected fault measurement attacks. On the basis of the limited ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Hyeonmin Jeon, Jongsu Kim and Kyoungkuk Yoon    
In the case of the electric propulsion system on the vessel, Diode Front End (DFE) rectifiers have been applied for large-sized ships and Active Front End (AFE) rectifiers have been utilized for small and medium-sized ships as a part of the system. In th... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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