利用线特征进行高分辨率影像与LiDAR点云的配准  

Registration of LiDAR Point Clouds and High Resolution Images Based on Linear Features

作　　者：马洪超[1,2] 姚春静[1] 邬建伟[1] 

机构地区：[1]武汉大学遥感信息工程学院,武汉市珞喻路129号430079 [2]武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2012年第2期136-140,159,共6页Geomatics and Information Science of Wuhan University

基　　金：国家863计划资助项目(2006AA12Z101);国家973计划资助项目(2009CB724004)

摘　　要：试图从离散点云数据中寻找影像的同名点是非常困难的,因此传统的基于同名特征点的配准方法难以使用。应用共线方程作为严格配准模型,利用LiDAR点云空间中的线特征替代传统配准模型中的点特征,取得了高精度的配准结果,同时对点云密度和影像分辨率之间的尺度关系进行了半定量分析。To find tie points from semi-randomly distributed point clouds is difficult,though such a task can be completed much easier in terms of images.Therefore,conventional imageto-image registration algorithms are no longer valid,where tie points are the main features for calculating registration parameters.We take the collinearity equation as a strict mathematical model for registration,and replace point features by linear ones through the parametric form of a straight line.High accuracy registration results have been achieved by such a manner.Meanwhile,semi-quantitative analysis is conducted in terms of the relationship between the image resolution and the LiDAR point density,which,to the author＇s best knowledge,has never been performed in literature.

关 键 词：机载激光雷达 线特征 配准 尺度分析 

分 类 号：P237.3[天文地球—摄影测量与遥感]