火力与指挥控制2025，Vol.50Issue(2)：148-155,8.DOI:10.3969/j.issn.1002-0640.2025.02.021
基于改进Yolov5s的迷彩伪装目标检测
Research on Camouflage Target Detection Based on Improved Yolov5S
摘要
Abstract
Camouflage target detection plays a key role in military operations,and an improved Yolov5s algorithm is proposed to address the problems of low accuracy and missed and false detection of existing camouflage target detection methods.Firstly,SE attention is fused in the feature extraction network to selectively enhance the key information of the target and suppress the interference factors of the background environment.Secondly,SPPFCSPC is introduced to replace the original pooling method to generate multi-scale features,which increases the detection accuracy while speeding up.Finally,bi-cubic interpolation is used instead of nearest-neighbor interpolation to reduce the image details lost during up-sampling process.The experimental results show that mAP、Recall on the open camouflage dataset of the improved algorithm reach 96.9％and 93.8％respectively,there is a remarkable improvement compared to the current study.关键词
迷彩伪装士兵/目标检测/Yolov5s算法/双立方插值Key words
camouflage soldiers/target detection/Yolov5s algorithm/bi-cubic interpolation分类
信息技术与安全科学引用本文复制引用
杨凡,张洁..基于改进Yolov5s的迷彩伪装目标检测[J].火力与指挥控制,2025,50(2):148-155,8.基金项目
国家重点研发计划资助项目(2018YFB1500902) （2018YFB1500902）
