光学精密工程2026，Vol.34Issue(4)：624-639,16.DOI:10.37188/OPE.20263404.0624
融合背景信息和方向信息的遥感图像旋转目标检测
Remote sensing image rotation object detection based on background information and direction information fusion
摘要
Abstract
Aimingat the problem of insufficient detection accuracy caused by large differences in target scale and complex direction distribution in remote sensing image target detection,a detection network com-bining background information and direction information was proposed.Firstly,aimed at the problem of large differences in target scale,a Receptive Field Extending(RFE)module was designed.Different from the traditional fixed receptive field or complex multi-branch structure,this module integrated multi-scale background information through large kernel decomposition,dilated convolution,and parallel branch struc-ture design,and solved the problem of different background information requirements for different scale targets without significantly increasing the amount of calculation.Secondly,aimed at the problem of com-plex distribution of target directions,an Orientation Aware Cross Attention(OACA)module was de-signed.Different from the existing attention mechanism convolution kernel shape,the module extracted di-rectional texture information through horizontal and vertical separable convolution to prevent feature loss and fracture;at the same time,a cross-attention mechanism was designed to suppress background noise and enhance the interactivity of directional information.The experimental results show that the detection accuracy of the proposed method on DOTA,HRSC2016 and DIOR-R datasets reaches 76.88%,98.43%and 65.06%,respectively,which is 1.01%,0.83%and 0.76%higher than that of the Orient-ed R-CNN method,respectively,which further verifies the effectiveness of background information and di-rection information collaboration.关键词
遥感图像/旋转目标检测/感受野扩张/方向感知交互注意力Key words
remote sensing images/rotating object detection/receptive field extending/orientation aware cross attention分类
信息技术与安全科学引用本文复制引用
胡贺南,马奥阳,李荣华..融合背景信息和方向信息的遥感图像旋转目标检测[J].光学精密工程,2026,34(4):624-639,16.基金项目
国家自然科学基金(No.U24B20159) （No.U24B20159）
辽宁省教育厅科学研究项目(No.LJ212410150036) （No.LJ212410150036）
辽宁省交通科技资助项目(No.202416) （No.202416）
大连市高层次人才创新支持计划(No.2022RJ03) （No.2022RJ03）
