北京航空航天大学学报2026，Vol.52Issue(3)：668-677,10.DOI:10.13700/j.bh.1001-5965.2023.0830
增强上下文特征交互的实时无人机影像分割算法
Real-time UAV image segmentation algorithm with enhanced contextual feature interaction
摘要
Abstract
A real-time UAV image segmentation algorithm with enhanced contextual feature interaction is proposed to address the problem of target omission and incompleteness in segmentation results due to the lack of global information interaction in lightweight algorithms for semantic segmentation tasks of UAV images.The approach uses a two-branch structure.To encode the channel and spatial information,global average pooling in various directions was used.This preserves the correct position information and increases the attention to the local detail information in the image.Secondly,a global perceptual extraction module was constructed by using the position-aware circular convolution and spatial weighting,which achieves the global contextual information capture;Finally,the weighting operation is applied to the features of different scales for the fusion,which reduces the information loss in the fusion process and the computation of the algorithm.The UAVid and AeroScapes datasets are used to validate the algorithm.The results indicate that the mean intersection over union(mIoU)achieved 66.5%and 63.0%,respectively,marking a 2.6%and 2.2%improvement over BiSeNet V2.The segmentation speeds reached 79.9 and 71.4 frames per second,respectively,showing an increase of 8.3 and 6.9 frames per second compared to BiSeNet V2.This method ensures real-time segmentation speed while delivering satisfactory segmentation accuracy.关键词
语义分割/无人机影像/卷积神经网络/上下文信息/特征融合Key words
semantic segmentation/UAV image/convolutional neural network/context information/feature fusion分类
信息技术与安全科学引用本文复制引用
李云红,张富星,苏雪平,李丽敏,王梅,梁成名..增强上下文特征交互的实时无人机影像分割算法[J].北京航空航天大学学报,2026,52(3):668-677,10.基金项目
国家自然科学基金(62203344) （62203344）
陕西省自然科学基础研究计划重点项目(2022JZ-35) （2022JZ-35）
陕西高校青年创新团队 （）
西安市"科学家+工程师"队伍建设项目(25KGYB00029) National Natural Science Foundation of China(62203344) （25KGYB00029）
Key Projects of Natural Science Basic Research Program of Shaanxi(2022JZ-35) （2022JZ-35）
The Youth Innovation Team of Shaanxi Universities （）
Xi'an City"Scientist+Engineering"Team Construction Project(25KGYB00029) （25KGYB00029）
