国防科技大学学报2026，Vol.48Issue(3)：36-51,16.DOI:10.11887/j.issn.1001-2486.26010035
注意力机制与雷达图像智能处理:进展与展望
Attention mechanism and intelligent processing of radar images:progress and prospects
摘要
Abstract
To systematically summarize the research progress of attention mechanisms and radar image intelligent processing,this paper reviewed the development context of attention mechanisms and elaborated on typical models,represented by channel attention,spatial attention,self-attention,and hybrid attention.On this basis,the innovative applications of various attention mechanisms in radar image intelligent processing were discussed from the perspectives of tasks such as radar image preprocessing,target detection,image segmentation,and target recognition.To verify the application performance of attention mechanisms,a comparative analysis of different attention mechanisms was conducted on the basis of radar image target detection tasks.Future research directions were discussed from four aspects:attention mechanism interpretability,efficient attention mechanism design,attention mechanism optimization for multimodal fusion,and attention mechanism design in foundation models.关键词
注意力机制/雷达图像智能处理/深度学习Key words
attention mechanism/intelligent processing of radar images/deep learning分类
信息技术与安全科学引用本文复制引用
陈思伟,戴林裕,王欣超..注意力机制与雷达图像智能处理:进展与展望[J].国防科技大学学报,2026,48(3):36-51,16.基金项目
国家自然科学基金资助项目(U24B20189,62122091) （U24B20189,62122091）
湖南省科技创新领军人才资助项目(2024RC1040) （2024RC1040）
