基于小波时频图与轻量级CNN-Transformer混合神经网络的复杂机动动作识别方法

任利强; 王海鹏; 潘新龙; 万兵; 唐田田

doi:10.13700/j.bh.1001-5965.2024.0745

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基于小波时频图与轻量级CNN-Transformer混合神经网络的复杂机动动作识别方法

任利强, 王海鹏, 潘新龙, 万兵, 唐田田

文章导航 > 北京航空航天大学学报 > 优先出版

任利强, 王海鹏, 潘新龙, 等 . 基于小波时频图与轻量级CNN-Transformer混合神经网络的复杂机动动作识别方法[J]. 北京航空航天大学学报. doi: 10.13700/j.bh.1001-5965.2024.0745

引用本文:

REN Liqiang, WANG Haipeng, PAN Xinlong, et al. A complex maneuver recognition method based on wavelet time-frequency image and lightweight CNN-Transformer hybrid neural network[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0745(in Chinese)

Citation:

REN Liqiang, WANG Haipeng, PAN Xinlong, et al. A complex maneuver recognition method based on wavelet time-frequency image and lightweight CNN-Transformer hybrid neural network[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0745(in Chinese)

引用本文:

Citation:

REN Liqiang, WANG Haipeng, PAN Xinlong, et al. A complex maneuver recognition method based on wavelet time-frequency image and lightweight CNN-Transformer hybrid neural network[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2024.0745(in Chinese)