文献类型： 外文期刊
作者： Wu, Zuli 1 ; Song, Yifan 1 ; Cui, Xuesen 1 ; Zhang, Shengmao 1 ; Quan, Weimin 1 ; Shi, Yongchuang 1 ; Xiong, Xinquan 1 ; Li, Penglong 1 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Key Lab Fisheries Remote Sensing, Minist Agr & Rural Affairs, Shanghai 200090, Peoples R China
2.Huzhou Univ, Sch Informat Engn, Huzhou 313000, Peoples R China
3.Shanghai Ocean Univ, Coll Informat, Shanghai 201306, Peoples R China
4.Dalian Ocean Univ, Sch Nav & Naval Architecture, Dalian 116023, Peoples R China
关键词： artificial reef; sonar images; multi-object tracking (MOT) algorithm; three-dimensional position evaluation
期刊名称：JOURNAL OF MARINE SCIENCE AND ENGINEERING （ 影响因子：2.8； 五年影响因子：2.8 ）
ISSN：
年卷期： 2025 年 13 卷 3 期
页码：
收录情况： SCI
摘要： Artificial reefs (ARS) are structures placed in the ocean, and their posture and position affect the placement effect of the reef. Quantitative data on the reef posture and position can provide references for the creation of a favorable environment for marine organisms. This paper focuses on improving the quality assessment methods for the deployment of ARS in marine habitats. Based on the images of ARS detected by forward-looking sonar, a new method is proposed to determine the three-dimensional position and deployment effectiveness of the reefs, with the aim of obtaining more detailed information about the ARS to assist in evaluating the quality of their deployment. By constructing a multi-object tracking (MOT) dataset based on the Oculus sonar, the YOLOv8n-pose series model was used for object detection. Subsequently, the three-dimensional position and subsidence of ARS were evaluated using trajectories identified by the MOT algorithm. This paper compares various MOT algorithms and improves the BOTSORT algorithm by introducing the Hungarian algorithm and the Joseph form of the Kalman filter, significantly enhancing the accuracy of target tracking. The experimental results demonstrate that, within the framework of the YOLOv8n-pose model, the detection and association accuracy of the BOTSORT algorithm, which has been refined to address the characteristics of sonar images, has been further enhanced. Additionally, this paper proposes a mathematical modeling method for the assessment of ARS and their subsidence, providing important technical support and solutions for future marine ranch construction.
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