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a task can be completed much easier in terms of images.Therefore,conventional imageto-image registration algorithms are no longer valid,where tie points are the main features for calculating registration parameters.We take the collinearity equation as a strict mathematical model for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.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
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)
关键词
机载激光雷达
线特征
配准
尺度分析
LiDAR system
linear features
registration
image resolution analysis
