火力与指挥控制2024，Vol.49Issue(6)：38-48,11.DOI:10.3969/j.issn.1002-0640.2024.06.006
基于深度学习的超视距雷达直升机目标检测方法
A Helicopter Target Detection Method of Over-the-Horizon Radar Based on Deep Learning
摘要
Abstract
Aiming at the difficulty of low-speed target detection and recognition of Over-the-Horizon Radar(OTHR),a helicopter target detection method based on deep learning is proposed.According to the helicopter target spectrum characteristics of OTHR,a special neural network HDNet for OTHR helicopter target detection is designed.The range-Doppler spectrum of the helicopter target is simulated and the dataset is constructed,the dataset is used as the source domain to be transfered to the real measured data.The network model is trained and tested.After the test and validation,the Ap@0.5 of the HDNet network for the simulated helicopter targets detection can reach 92.1％.After fine-tuning the model based on the deep transfer learning method,the detection effect of the network model for the measured data detection is improved obviously.关键词
深度学习/超视距雷达/直升机目标/距离多普勒图/目标检测Key words
deep learning/OTHR/helicopter target/range-doppler diagram/target detection分类
信息技术与安全科学引用本文复制引用
梁复台,周焰,董家隆,陈新,唐晓..基于深度学习的超视距雷达直升机目标检测方法[J].火力与指挥控制,2024,49(6):38-48,11.基金项目
军队重大科研基金资助项目(JY2020A020) （JY2020A020）
