红外技术2025，Vol.47Issue(2)：211-216,6.
ReNet:基于无锚框的地面旋转目标检测方法
ReNet:Ground Rotating Target Detection Method Based on Anchor-Free Frame
摘要
Abstract
Ground infrared target detection is crucial in the fields of high-altitude reconnaissance,intelligent perception,and ground strike,where the acquired ground infrared targets often appear in the form of irreg-ular angles,resulting in low detection accuracy,ease of misdetection,and other problems.Therefore,this paper proposes an anchor-free-based ground rotating target detection method.Based on the anchor-free tar-get detection model,a backbone network based on atrous convolution is constructed,which enhances the perception range and feature extraction ability of the model for ground rotating targets.After feature extrac-tion based on void convolution,the attention dimension of the extracted feature is increased through external attention,and the extraction of higher-resolution features of the target is realized.The ground rotating target detection model achieved 90.6%detection accuracy on the HIT-UAV dataset,which optimized the detection performance of the anchor-free target detection model for ground rotating targets.关键词
深度学习/地面旋转目标检测/智能感知/Anchor-Free/空洞卷积/EA注意力机制Key words
deep learning/ground rotation target detection/intelliSense/anchor-Free/void convolution/ex-ternal attention mechanism分类
信息技术与安全科学引用本文复制引用
徐叶斌,王云鹏,刘少龙,刘力,李瑞..ReNet:基于无锚框的地面旋转目标检测方法[J].红外技术,2025,47(2):211-216,6.基金项目
航空科学基金(2022Z071031001). （2022Z071031001）
