空天预警研究学报2025，Vol.39Issue(1)：24-28,46,6.DOI:10.3969/j.issn.2097-180X.2025.01.005
运用机器学习的海上目标双层分类识别方法
A two-layer classification recognition method for maritime target using machine learning
张晨 1靳俊峰1
作者信息
- 1. 中国电子科技集团公司第三十八研究所,合肥 230088||孔径阵列与空间探测安徽省重点实验室,合肥 230088
- 折叠
摘要
Abstract
In order to solve the problem of how to correctly label the category attributes and specific models of marine targets under the background of diversified marine environments,machine learning method is used to se-lect four models including random forest model,deep forest model,CNN model and BiGRU model,and a two-lay-er evaluation factor synthesis model is proposed to form a two-layer classification recognition method for marine targets.The experimental results show that the proposed method can accurately identify the sea state from the two levels of category and model,and improve the accuracy and real-time capability of prediction decision.关键词
海上目标/分类识别/机器学习/海域环境Key words
marine target/classification recognition/machine learning/marine environment分类
信息技术与安全科学引用本文复制引用
张晨,靳俊峰..运用机器学习的海上目标双层分类识别方法[J].空天预警研究学报,2025,39(1):24-28,46,6.
