计算机应用与软件2025，Vol.42Issue(5)：298-305,8.DOI:10.3969/j.issn.1000-386x.2025.05.040
基于域适应的无人机航拍目标检测算法
OBJECT DETECTION ALGORITHM OF UAV AERIAL IMAGES BASED ON DOMAIN ADAPTATION
摘要
Abstract
UAV aerial images are characterized by complex backgrounds,small object scales,variable object orientation angles.The training data of the model often deviates from the application scenario,leading to significant degradation in detection performance.To address the above problems,a UAV aerial object detection algorithm based on domain adaptation is proposed.The method adopted the overall idea of domain adaptation to improve the generalization of the model in different scenarios.Furthermore,the method designed a feature extraction network which incorporated deformable convolution and ResNet-101,as well as a feature pyramid network and a D-ROI Align to improve the detection accuracy.Domain adaptation experiments based on UAV-related datasets show that the method has better detection performance than the current mainstream algorithms.关键词
目标检测/域适应/无人机Key words
Object detection/Domain adaptation/UAV分类
信息技术与安全科学引用本文复制引用
陈金吉,吴金明,许吉慧,徐怀宇..基于域适应的无人机航拍目标检测算法[J].计算机应用与软件,2025,42(5):298-305,8.基金项目
中国科学院战略性先导科技专项(XDC02000000) （XDC02000000）
SEANET规模试验验证评估与示范应用项目(XDC02070800). （XDC02070800）
