航空兵器2025，Vol.32Issue(2)：80-86,7.DOI:10.12132/ISSN.1673-5048.2024.0192
复杂背景下的红外运动目标语义分割算法研究
Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds
摘要
Abstract
The semantic segmentation of infrared weak targets relies more on detailed texture features,and deeper network architecture are not suitable for semantic segmentation of infrared targets,making it difficult to accurately seg-ment weak targets from complex backgrounds.This article focuses on the semantic segmentation task requirements of infrared moving targets in complex backgrounds.Based on the publicly available target detection and tracking dataset,an infrared image semantic segmentation dataset is annotated and constructed.The STDC-Seg model is used to optimize the characteristics of infrared images,and an infrared target semantic segmentation algorithm STDC-Infrared is pro-posed.Redesign the network downsampling structure,adding spatial attention module and multi-scale adaptive fusion module.The experimental results show that compared with STDC-Seg,this algorithm has improved the average inter-section to union ratio and average pixel accuracy by 12.47％and 12.55％,respectively,on the infrared image seman-tic segmentation dataset.In particular,the intersection to union ratio and pixel accuracy of infrared aircraft targets have improved by 31.53％and 35.82％,respectively,effectively improving the performance of semantic segmentation algo-rithms in complex background infrared moving target scenes.关键词
语义分割/红外运动目标/复杂背景/STDC-Seg/多尺度自适应融合Key words
semantic segmentation/infrared moving target/complex backgrounds/STDC-Seg/multi scale adap-tive fusion分类
军事科技引用本文复制引用
吉浩宇,孟卫华,张新朝,段静菲,张蒙..复杂背景下的红外运动目标语义分割算法研究[J].航空兵器,2025,32(2):80-86,7.基金项目
国家自然科学基金项目(02564897) （02564897）
