现代电子技术2026，Vol.49Issue(9)：60-68,9.DOI:10.16652/j.issn.1004-373x.2026.09.010
基于改进YOLOv8n的航拍视角小目标检测算法
Small object detection algorithm based on improved YOLOv8n for aerial photography viewpoint
摘要
Abstract
In view of the low detection accuracy caused by small scale,dense and occlusion of the objects in the UAV aerial photography viewpoint,as well as the resource constraints on UAV(unmanned aerial vehicle)equipment,an improved small object detection algorithm for UAV aerial photography viewpoint is proposed based on YOLOv8n.Firstly,the receptive field,and channel and spatial attention mechanisms are integrated into the convolution to design RFCSAMConv(receptive-field channel space attention module convolution)module,so as to improve the model ability of extracting complex features,and then the dilation-wise residual C2f(C2f-DWR)module is also introduced to obtain multi-scale context efficiently and enhance the model capability of recognizing small objects.Secondly,the enhanced adaptive bidirectional multi-scale feature fusion neck network structure is designed,SPDConv(space-to-depth convolution)is used to capture fine-grained features,and the multi-kernel attention MKA(multi-kernel attention)module is designed to enhance multi-scale feature fusion.Finally,Soft-NMS(soft non-maximum suppression)is employed to adjust the overlapping box suppression strategy and improve the detection accuracy of the occluded objects.Experiments on the dataset VisDrone2019 show that,the mean average precision mAP@0.5 and mAP@0.5:0.95 of the improved model are enhanced by 8.7%and 7.6%,respectively,and its parameters are reduced by 31.5%in comparison with those of the benchmark model YOLOv8n,which verify the effectiveness of the improved model in small object detection for UAV aerial photography viewpoint.关键词
无人机航拍/小目标检测/YOLOv8n/注意力机制/深度可分离卷积/多尺度上下文/特征融合/Soft-NMSKey words
UAV aerial photography/small object detection/YOLOv8n/attention mechanism/depthwise separable convolution/multi-scale context/feature fusion/Soft-NMS分类
信息技术与安全科学引用本文复制引用
李静怡,甄国涌,储成群,高佳琦,李宏晟..基于改进YOLOv8n的航拍视角小目标检测算法[J].现代电子技术,2026,49(9):60-68,9.基金项目
国家自然科学基金项目(62005251) （62005251）
