Results 21 to 30 of about 4,939 (248)
Optical Remote Sensing Ship Recognition and Classification Based on Improved YOLOv5
Due to the special characteristics of the shooting distance and angle of remote sensing satellites, the pixel area of ship targets is small, and the feature expression is insufficient, which leads to unsatisfactory ship detection performance and even ...
Jun Jian +4 more
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SDFSD-v1.0: A Sub-Meter SAR Dataset for Fine-Grained Ship Detection
In the field of target detection, a prominent area is represented by ship detection in SAR imagery based on deep learning, particularly for fine-grained ship detection, with dataset quality as a crucial factor influencing detection accuracy.
Peixin Cai +7 more
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Water Level Prediction Model Based on GRU and CNN
Massive amount of water level data has been collected by using Internet of Things (IoT) techniques in the Yangtze River and other rivers. In this paper, utilizing these data to construct deep neural network models for water level prediction is focused ...
Mingyang Pan +6 more
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Detecting Ship-to-Ship Transfer by MOSA: Multi-Source Observation Framework with SAR and AIS
Ship-to-ship (STS) transfer has become a major concern for maritime security and regulatory authorities, as it is frequently exploited for smuggling and other illicit activities. Accurate and timely identification of STS events is therefore essential for
Peixin Cai +7 more
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Marine oil spills cause significant environmental damage worldwide. Marine radar imagery is used for oil spill detection. However, the rapid attenuation of backscatter intensity with increasing distance limits detectable coverage.
Peng Liu +8 more
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Risk evaluation for the navigation environment of the LNG ship based on the cloud model
In order to enhance water transport safety of the LNG ship and improve the objectivity of risk assessment of LNG ships navigation environment, the cloud model which can realize the conversion between qualitative and quantitative evaluation indexes is ...
Zhang Shiyuan, Li Lianbo, Li Xinze
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Modeling ship-wind turbine dynamics for optimal energy generation and navigation [PDF]
This paper deals with modeling the dynamics of the ship-wind turbine system in order to optimize power generation and ensure safe navigation. The focus is on developing mathematical models describing the interaction of wind forces, turbine performance ...
Melnyk Oleksiy +4 more
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Multi-Scale Adaptive Level Set Segmentation Method Based on Saliency
Image segmentation is an important research of computer vision. Due to the effects of intensity inhomogeneity, target edge and background complex, it is still challenging to achieve effective segmentation of target adaptively.
Zhang Dan +3 more
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In order to establish a sparse and accurate ship motion prediction model, a novel Bayesian probability prediction model based on relevance vector machine (RVM) was proposed for nonparametric modeling.
Yao Meng +4 more
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Steering Controller Design for Smart Autonomous Surface Vessel Based on CSF L2 Gain Robust Strategy
During the mission at sea, the yaw motion of the smart autonomous surface vessel (SASV) is always subject to the external disturbances. These issues make the design of a robust controller for steering autopilot system a quite challenging task. This paper
Wei Guan +3 more
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