Radar signal heat map-oriented human body target detection method

The invention discloses a radar signal heat map-oriented human body target detection method, which is based on a residual network ResNet and adopts a radar signal heat map as network input. Compared with a video image, the heat map can display target information from horizontal and vertical two-way view angles, redundant backgrounds are effectively removed, and the method is more visual. In order to simplify the training process, heat map input is preprocessed, network input parameters are integrated, heat map image data are recombined, the training efficiency is improved, and the training time is shortened. In the training model, the method extracts the features output by the residual network, and fuses the horizontal and vertical heat map features by relying on the feature matrix reconstruction operation at the tail end of the network, so as to further improve the feature extraction effect. 面向雷达信号热图的人体目标检测方法，该方法基于残差网络ResNet，并采用雷达信号热图作为网络输入。与视频图像相比，热图可从水平、垂直双向视角展示目标信息，并有效去除了冗余背景，更加直观。为简化训练过程，该方法对热图输入进行了预处理，在