文献类型：期刊文献

英文题名：Recognition of chlorophyll rings using YOLOv8

作者：Xu, Guangjun[1,2];Lin, Zhixia[3];Shi, Yucheng[1];Wu, Jialun[3];Xu, Huabing[1];Wang, Guancheng[1];Zhang, Tianyu[2,3,4]

机构：[1]Guangdong Ocean Univ, Sch Elect & Informat Engn, Zhanjiang 524088, Peoples R China;[2]Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China;[3]Guangdong Ocean Univ, Coll Ocean & Meteorol, Zhanjiang 524088, Peoples R China;[4]Guangdong Ocean Univ, Key Lab Climate Resources & Environm Continental S, Dept Educ Guangdong Prov, Zhanjiang 524088, Peoples R China

年份：2025

卷号：15

期号：1

外文期刊名：SCIENTIFIC REPORTS

收录：SCI-EXPANDED(收录号：WOS:001472871300028)、、Scopus(收录号：2-s2.0-105003297247)、WOS

基金：This research was supported by the project supported by Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (SML2022SP301, SML2020SP007), National Key Research and Development Program of China (2023YFC3008200), and State Key Laboratory of Tropic Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Science (LTO2319).

语种：英文

外文摘要：Chlorophyll acts as a critical indicator of marine phytoplankton and primary productivity, and its concentration distribution holds great significance for marine fisheries. With the rapid advancement of deep learning technologies, the application of neural networks in ocean science has become increasingly prevalent. This study employs the YOLOv8 model to identify elevated chlorophyll concentrations at the peripheries of mesoscale ocean eddies, known as chlorophyll rings. The YOLOv8 model demonstrates remarkable generalization capability and high accuracy in this application, surpassing other models such as Swin-Transformer and ResNet in both the quantity and precision. This paper conducts a statistical analysis based on the recognition results, revealing the spatial distribution characteristics of chlorophyll rings and examining the generation quantities of these rings under varying eddy radii and life cycles. The findings not only provide a robust tool for the analysis of chlorophyll concentration data but also yield new insights into the distribution and dynamic changes of chlorophyll within marine ecosystems.