摘要
目标分类识别是地基防空雷达承担的主要任务之一,随着可获取的目标特征多样化和分类器的快速发展,空中目标识别的手段已经相当丰富.为此梳理了各种雷达体制下不同类型和层次的目标识别特征及其提取方法,并对自动目标识别分类器的发展现状和特点进行了归纳和分析,进而对未来的重点发展方向进行了研判.
Classification and recognition of air targets is one of the main tasks of ground-based air defense radar.With the diversification of acquirable target features and the rapid development of classifiers,the means of aerial target recognition have been quite abundant.Therefore,this paper sorts out the target recognition characteristics and its extraction methods of different types and levels under various radar systems,then summarizes and analyzes the development status and characteristics of automatic target recognition classifiers,and finally makes a study and judgment on the key development direction in the future.
作者
赵春雷
姚嘉嵘
李京效
戚张行
魏汇赞
ZHAO Chunlei;YAO Jiarong;LI Jingxiao;QI Zhangxing;WEI Huizan(Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China)
出处
《空天预警研究学报》
CSCD
2023年第5期313-320,334,共9页
JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
基金
上海市青年科技英才扬帆计划(21YF1417400)。
关键词
空中目标
自动目标识别
特征提取
神经网络
深度学习
aerial targets
automatic target recognition
feature extraction
neural networks
deep learning
