电讯技术2026，Vol.66Issue(5)：708-716,9.DOI:10.20079/j.issn.1001-893x.241127005
雷达-红外图像融合下的智能微弱目标检测算法
Radar-Infrared Image Fusion-based Intelligent Weak Target Detection Algorithm
摘要
Abstract
In response to the technical challenges of detecting weak aerial targets such as stealth aircraft,small unmanned aerial vehicles,and high-speed missiles in modern warfare,an intelligent weak target detection algorithm based on radar and infrared image fusion is proposed.The method first accumulates the maximum values of multiple infrared frames to enhance the spatio-temporal correlation features of the target trajectory.Then,through using the measurement data from a bi-coordinate radar,the potential target locations are projected onto the infrared images,improving the coherence of the target trajectory in the infrared imagery.During the detection phase,the Dimension-Aware Selective Integration(DASI)module and Large Separable Kernel Attention(LSKA)module are integrated into the YOLOv8 instance segmentation network to optimize the network structure for precise detection of weak targets.Experimental results show that under a signal-to-noise ratio of 8 dB,the detection probability for targets with uniform straight-line motion,uniform acceleration,and complex maneuvers exceeds 80%.关键词
微弱目标检测/雷达-红外图像/信息融合Key words
weak target detection/radar-infrared image/information fusion分类
信息技术与安全科学引用本文复制引用
孙殿星,张一泓,彭锐晖..雷达-红外图像融合下的智能微弱目标检测算法[J].电讯技术,2026,66(5):708-716,9.基金项目
国防科技重点实验室基金项目(2023-JCJQ-LB-016) （2023-JCJQ-LB-016）
