北京航空航天大学学报2026，Vol.52Issue(5)：1445-1455,11.DOI:10.13700/j.bh.1001-5965.2024.0190
基于特征信息补充与增强的无人机视角图像目标检测算法
Object detection algorithm for UAV viewpoint images based on feature information complementation and enhancement
摘要
Abstract
To address the challenges of significant object scale variation,a high proportion of small-sized objects,and severe background noise interference in images captured from unmanned aerial vehicle(UAV)viewpoint images,a novel object detection algorithm based on feature information enhancement and complementation is proposed.First,to leverage high-level semantic information for capturing richer multi-scale features,a multivariate fusion spatial pyramid pooling-fast(MFSPPF)method is introduced.Second,in order to avoid losing important information during feature fusion,a multi-branch semantic enhancement(MBSE)module is created to extract rich multi-scale features over several branches and create links between these features.In addition,the detailed feature complementation(DFC)module is proposed to extract and refine the low-level feature information to obtain rich,fine-grained feature information and achieve the complementation of the detailed information in the high-level features after feature fusion.Experiments conducted on the VisDrone2021 dataset demonstrate that the proposed algorithm outperforms the baseline YOLOv8m method,with average precision(AP),AP50,AP75,AP(s),AP(m),and AP(l)improving by 3.7%,5.4%,3.9%,3.1%,4.0%,and 7.9%,respectively.Furthermore,the proposed method is applicable to other YOLOv8 models.The proposed algorithm is appropriate for UAV perspective image detection jobs because it maintains a fast detection speed while achieving better detection performance across a range of intersection over union(IOU)thresholds and object sizes.关键词
目标检测/无人机图像/YOLOv8/特征增强/细粒度特征Key words
object detection/UAV images/YOLOv8/feature enhancement/fine-grained feature分类
航空航天引用本文复制引用
邬开俊,蒲卓..基于特征信息补充与增强的无人机视角图像目标检测算法[J].北京航空航天大学学报,2026,52(5):1445-1455,11.基金项目
甘肃省自然科学基金(23JRRA913) （23JRRA913）
内蒙古自治区重点研发与成果转化计划项目(2023YFSH0043) （2023YFSH0043）
兰州交通大学重点研发项目资助(ZDYF2304)Natural Science Foundation of Gansu Province(23JRRA913) （ZDYF2304）
Inner Mongolia Autonomous Region Key Research and Development and Achievement Transformation Program Project(2023YFSH0043) （2023YFSH0043）
Supported by Key Research and Development Project of Lanzhou Jiaotong University(ZDYF2304) （ZDYF2304）
