一种三维激光数据与数码影像自动配准的方法

发布时间：2018-05-05 05:35

本文选题：地面激光 + 数码影像　；参考：《地矿测绘》2016年01期

【摘要】：地面激光扫描仪可以获取目标表面密集高精度离散的三维点云数据,摄影测量可以获取目标表面丰富高质量连续的纹理影像数据,将地面激光扫描仪点云和近景数码影像进行有机融合成为当前研究的热点和难点,提出了一种通过基于激光点云强度图像和数码影像自动配准来实现两种异源数据间的精确融合。其中,针对异源数据成像模型不同的问题,将点云数据严格地转换为相机中心投影方式的强度影像;在点云强度图像和数码影像间特征点的提取与匹配过程中,采用了由粗到精的稳健策略;根据高精度的匹配点利用空间后方交会获取相机的准确外方位元素,恢复图像在摄影瞬间相对点云目标的位置和姿态。实验证明,该方法可实现地面激光点云数据与近景数码影像的有机融合。
[Abstract]:Ground laser scanner can obtain dense and discrete 3D point cloud data of target surface. Photogrammetry can obtain rich and continuous texture image data of target surface. The organic fusion of point cloud and close-range digital images of laser scanner on the ground has become a hot and difficult point in current research. In this paper, an accurate fusion between two kinds of heterogenous data is proposed, which is based on the automatic registration of laser point cloud intensity image and digital image. Aiming at the different imaging models of heterogeneous data, the point cloud data is strictly converted to the intensity image of camera center projection, and in the process of feature point extraction and matching between point cloud intensity image and digital image, The robust strategy from coarse to fine is adopted and the position and attitude of the image relative to the point cloud in the instant of photography are recovered by using the spatial rear intersection to obtain the accurate external orientation elements of the camera according to the high-precision matching points. Experiments show that this method can realize the organic fusion of ground laser point cloud data and close-range digital image.
【作者单位】：同济大学测绘与地理信息学院;
【分类号】：P234.1;P225.2

【相似文献】