空军工程大学学报2026，Vol.27Issue(1)：1-11,11.DOI:10.3969/j.issn.2097-1915.2026.01.001
一种基于FD_Net网络识别模型的复杂飞行动作识别方法
A Complex Flight Action Recognition Method Based On the FD_Net Network Recognition Model
摘要
Abstract
Because of the problems that accuracy is low in recognizing complex flight action,and in order to enhance the accuracy and reliability of flight parameter data analysis,this paper proposes a flight ac-tion recognition method based on time convolutional network mapping anchor boxes.The method is to construct a FD̠Net recognition model by improving the YOLOv3 network structure,transforming the recognition of complex flight action into a problem of regional division and classification in the time di-mension.A selection method of complex flight action with key feature parameters is proposed,and an input system with 25 feature parameters is constructed.A data augmentation method based on scale scal-ing is adopted by solving the problem of sample imbalance.Loss functions for prediction box regression,confidence regression,and classification regression are designed to complete model training.The experi-mental results show that compared with the existing methods,the proposed method significantly im-proves the accuracy of complex flight action recognition and significantly enhances computational efficien-cy,and the effectiveness and practicality of the method are verified.关键词
飞行动作识别/深度学习/飞行动作标注/数据增强Key words
flight action recognition/deep learning/flight action annotation/data augmentation分类
航空航天引用本文复制引用
马金龙,李正欣,石梅林,单圣哲,邓涛,吴诗辉..一种基于FD_Net网络识别模型的复杂飞行动作识别方法[J].空军工程大学学报,2026,27(1):1-11,11.基金项目
陕西省自然科学基金(2024JC-YBMS-551) （2024JC-YBMS-551）
