空天预警研究学报2023，Vol.37Issue(4)：274-278,284,6.DOI:10.3969/j.issn.2097-180X.2023.04.008
基于图像特征提取的雷达点迹识别方法
Radar plot identification method based on image feature extraction
赵红梦 1王刚 1丁智青1
作者信息
- 1. 南京长江电子信息产业集团有限公司,南京 210039
- 折叠
摘要
Abstract
In order to solve the influence of false radar plot on radar detection and tracking performance,this paper proposes a radar plot identification method based on image feature extraction.In this method,16 image fea-ture parameters are first extracted from raw radar video data.Secondly,principal component analysis(PCA)is used to conduct studies and dimensionality reduction on the application value of the feature parameters.Finally,the BP neural network algorithm is employed to further identify the authenticity of the target and clutter.Experi-mental results show that compared with support vector machine(SVM)algorithm and BP neural network algo-rithm,the proposed method has higher accuracy,lower false alarm rate and lower missed alarm probability in terms of radar plot identification.关键词
雷达点迹/图像处理/特征提取/主成分分析/BP神经网络/点迹识别Key words
radar plot/image processing/feature extraction/principal component analysis(PCA)/BP neural network/plot identification分类
信息技术与安全科学引用本文复制引用
赵红梦,王刚,丁智青..基于图像特征提取的雷达点迹识别方法[J].空天预警研究学报,2023,37(4):274-278,284,6.
