Unmanned aerial vehicle detection method and system based on multi-domain attention mechanism

The invention relates to an unmanned aerial vehicle detection method based on a multi-domain attention mechanism. The method comprises the following steps: constructing an unmanned aerial vehicle detection image data set; constructing an unmanned aerial vehicle detection network based on a multi-domain attention mechanism; training the unmanned aerial vehicle detection network by adopting the unmanned aerial vehicle detection image data set to obtain an unmanned aerial vehicle detection model; performing unmanned aerial vehicle detection on a to-be-detected image by using the unmanned aerial vehicle detection model, wherein the unmanned aerial vehicle detection network comprises a backbone network, a multi-scale feature fusion network, a multi-domain attention mechanism module, a region generation network, an ROI Align layer and a detection head. The identification precision of an unmanned aerial vehicle is improved. 本发明涉及一种基于多域注意力机制的无人机检测方法，该方法包括：构建无人机检测图像数据集；构建基于多域注意力机制的无人机检测网络；采用无人机检测图像数据集对无人机检测网络进行训练，获得无人