Target classification method based on 3D laser radar detection and image analysis

The invention discloses a target classification method based on 3D laser radar detection and image analysis, and the method comprises the following steps: S1, scanning a defense area through a radar detection system, inputting a point cloud, and carrying out the calculation and extraction of a target feature vector when a new target is found; s2, according to the feature vectors, classifying target types by using a classification decision tree algorithm; s3, when the target type is an obstacle type, the radar detection system is linked with the camera control system to capture an obstacle feature; and S4, classifying and identifying the captured scene through an image classification system. The method has the beneficial effects that the radar detection system and the image classification system are combined to classify and identify the defense area, so that the accuracy of target classification and identification of the system is improved. 本发明公开了基于3D激光雷达检测和图像分析的目标分类方法，包括以下步骤：S1：通过雷达探测系统对防区进行扫描并输入点云，当发现新增目标后，对