【摘要】 为了完成地面激光点云数据的分类工作,不同于传统方法利用点云的几何特性和辐射信息,本文利用非量测相机获取影像数据实现点云的分类。首先,通过相机检校获取相机的参数,从而得到影像内方位元素;然后,将影像与点云进行配准,计算出影像的外方位元素;最后,对上述参数进行优化,实现二维影像与三维点云信息的融合,进而完成点云分类。实验表明该方案可实现地面激光点云数据的分类。更多还原

【Abstract】 To complete the classification of terrestrial Li DAR point cloud data,this paper uses the image data to realize the classification process of point cloud,which is different from the traditional method using the geometric characteristics or radiation information of point cloud. First step,the camera parameters are obtained by camera calibration,and the inner azimuth elements in the image can be calculated. Then,the image and the point cloud are registered to calculate the external azimuth of the image. Finally,with the integration of two different type of data which can be realized with the above parameters taken into advantage,the classification can be completed. Experiments show that this scheme can realize the classification of terrestrial lidar point cloud data.更多还原