红外技术2025，Vol.47Issue(6)：748-756,9.
基于改进注意力机制的红外小目标检测
Infrared Small Target Detection Based on Improving Attention Mechanism
摘要
Abstract
To address the challenges of difficult feature extraction and low contrast in infrared small-target images,an improved attention mechanism is proposed.First,a parallel dual-channel reverse attention mechanism is designed.Based on the reverse attention concept,one branch processes features in the order of spatial attention followed by channel attention,while the other branch follows the reverse order—channel attention followed by spatial attention.These two independent branches are used together to merge their outputs.Second,a parallel dual-channel reverse attention mechanism is introduced into the Res2Net structure,and an improved region strength level module is added to Res2Net.Third,the loss function considers the global and local constraint loss functions.The simulation results show that improving the attention mechanism has good visual effects,and the accuracy and ROC detection performance are better than those of other algorithms.关键词
红外小目标/反向注意力/并联双通道/平行连接Key words
infrared small target/reverse attention/parallel dual channels/paralleled connection分类
信息技术与安全科学引用本文复制引用
张慧宁,张培航..基于改进注意力机制的红外小目标检测[J].红外技术,2025,47(6):748-756,9.基金项目
河南省教育科学规划课题(2023YB0516). （2023YB0516）
