50   Artículos

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en línea
Qing Dong, Lina Sun, Tianxin Han, Minqi Cai and Ce Gao    
Timely and effective pest detection is essential for agricultural production, facing challenges such as complex backgrounds and a vast number of parameters. Seeking solutions has become a pressing matter. This paper, based on the YOLOv5 algorithm, develo... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xiaobin Hong, Bin Cui, Weiguo Chen, Yinhui Rao and Yuanming Chen    
Aiming at the problem that multi-ship target detection and tracking based on cameras is difficult to meet the accuracy and speed requirements at the same time in some complex scenes, an improved YOLOv4 algorithm is proposed, which simplified the network ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Mingyu Zhang, Fei Gao, Wuping Yang and Haoran Zhang    
In this paper, we propose a wildlife detection algorithm based on improved YOLOv5s by combining six real wildlife images of different sizes and forms as datasets. Firstly, we use the RepVGG model to simplify the network structure that integrates the idea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiajia Wang and Guangming Li    
Bridge displacement measurement is an important area of bridge health monitoring, which can directly reflect whether the deformation of bridge structure exceeds its safety permission. Target tracking technology and Digital Image Correlation (DIC) are two... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Linhua Zhang, Ning Xiong, Wuyang Gao and Peng Wu    
With the exponential growth of remote sensing images in recent years, there has been a significant increase in demand for micro-target detection. Recently, effective detection methods for small targets have emerged; however, for micro-targets (even fewer... ver más
Revista: Information    Formato: Electrónico

 
en línea
Liang Zhao, Qing Yun, Fucai Yuan, Xu Ren, Junwei Jin and Xianchao Zhu    
Underwater target detection plays a crucial role in marine environmental monitoring and early warning systems. It involves utilizing optical images acquired from underwater imaging devices to locate and identify aquatic organisms in challenging environme... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yiming Hu, Bin Wen, Yongsheng Ye and Chao Yang    
Insulators find extensive use across diverse facets of power systems, playing a pivotal role in ensuring the security and stability of electrical transmission. Detecting insulators is a fundamental measure to secure the safety and stability of power tran... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ruoyu Chen and Ying Chen    
To detect a desired underwater target quickly and precisely, a real-time sonar-based target detection system mounted on an autonomous underwater helicopter (AUH) using an improved convolutional neural network (CNN) is proposed in this paper. YOLOv5 is in... 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
Fujun Du, Shuangjian Jiao and Kaili Chu    
To ensure the safety and rational use of bridge traffic lines, the existing bridge structural damage detection models are not perfect for feature extraction and have difficulty meeting the practicability of detection equipment. Based on the YOLO (You Onl... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Junchi Zhou, Ping Jiang, Airu Zou, Xinglin Chen and Wenwu Hu    
In order to realize the real-time detection of an unmanned fishing speedboat near a ship ahead, a perception platform based on a target visual detection system was established. By controlling the depth and width of the model to analyze and compare traini... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Hailiang Gong, Xi Wang and Weidong Zhuang    
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Liang Chen, Yuyi Yang, Zhenheng Wang, Jian Zhang, Shaowu Zhou and Lianghong Wu    
Underwater robot perception is a critical task. Due to the complex underwater environment and low quality of optical images, it is difficult to obtain accurate and stable target position information using traditional methods, making it unable to meet pra... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jianjing Deng, Xiangfeng Yang, Liwen Liu, Lei Shi, Yongsheng Li and Yunchuan Yang    
Underwater acoustic homing weapons (UAHWs) are formidable underwater weapons with the capability to detect, identify, and rapidly engage targets. Swift and precise target identification is crucial for the successful engagement of targets via UAHWs. This ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Xin Yuan, Shutong Fang, Ning Li, Qiansheng Ma, Ziheng Wang, Mingfeng Gao, Pingpeng Tang, Changli Yu, Yihan Wang and José-Fernán Martínez Ortega    
Sea cucumber detection represents an important step in underwater environmental perception, which is an indispensable part of the intelligent subsea fishing system. However, water turbidity decreases the clarity of underwater images, presenting a challen... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhou Fang, Xiaoyong Wang, Liang Zhang and Bo Jiang    
Currently, deep learning is extensively utilized for ship target detection; however, achieving accurate and real-time detection of multi-scale targets remains a significant challenge. Considering the diverse scenes, varied scales, and complex backgrounds... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Zhendong He, Wenbin Yang, Yanjie Liu, Anping Zheng, Jie Liu, Taishan Lou and Jie Zhang    
Ensuring the safety of transmission lines necessitates effective insulator defect detection. Traditional methods often need more efficiency and accuracy, particularly for tiny defects. This paper proposes an innovative insulator defect recognition method... ver más
Revista: Information    Formato: Electrónico

 
en línea
Rui Ren, Haixia Sun, Shujuan Zhang, Ning Wang, Xinyuan Lu, Jianping Jing, Mingming Xin and Tianyu Cui    
To detect quickly and accurately ?Yuluxiang? pear fruits in non-structural environments, a lightweight YOLO-GEW detection model is proposed to address issues such as similar fruit color to leaves, fruit bagging, and complex environments. This model impro... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yuexing Zhang, Yiping Li, Shuo Li, Junbao Zeng, Yiqun Wang and Shuxue Yan    
This paper proposes a centralized MTT method based on a state-of-the-art multi-sensor labeled multi-Bernoulli (LMB) filter in underwater multi-static networks with autonomous underwater vehicles (AUVs). The LMB filter can accurately extract the number of... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Haotong Suo, Jinge Guan, Miao Ma, Yongsheng Huo, Yaoyu Cheng, Naying Wei and Liying Zhang    
For traditional dark channel prior (DCP) imaging through haze environments, intensity information acts as the carrier to acquire the reflective character of the dehazed target image. We introduce polarization as auxiliary information into the traditional... ver más
Revista: Applied Sciences    Formato: Electrónico

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