机载激光雷达(Light Detection And Ranging,LiDAR)系统近年来逐渐成为一种新兴的测量手段,是一种可以直接提供大量地面离散点的高精度三维信息的主动式遥感技术,具有依赖控制测量条件少、受天气影响小、自动化水平高等优点。然而LiDAR...机载激光雷达(Light Detection And Ranging,LiDAR)系统近年来逐渐成为一种新兴的测量手段,是一种可以直接提供大量地面离散点的高精度三维信息的主动式遥感技术,具有依赖控制测量条件少、受天气影响小、自动化水平高等优点。然而LiDAR获取的数据主要是离散激光点云,具有高精度的空间结构信息而缺少纹理和光谱信息。将LiDAR数据和遥感影像数据进行融合将是当今测绘科学研究的方向之一。融合影像数据和点云数据的关键步骤就是将两者进行高精度的配准。展开更多
The technique of image matching is the basis of image fusion,image mosaic and scene 3D reconstruction.In the paper a novel image registration method based on SUSAN operator is proposed.Firstly,Corner points are extrac...The technique of image matching is the basis of image fusion,image mosaic and scene 3D reconstruction.In the paper a novel image registration method based on SUSAN operator is proposed.Firstly,Corner points are extracted by using SUSAN(Smallest Univalue Segment Assimilating Nucleus) operator.Then matched corner points are selected through coarse matching and fine matching.Based on such corner pairs,aerophotos are registered automatically.展开更多
文摘机载激光雷达(Light Detection And Ranging,LiDAR)系统近年来逐渐成为一种新兴的测量手段,是一种可以直接提供大量地面离散点的高精度三维信息的主动式遥感技术,具有依赖控制测量条件少、受天气影响小、自动化水平高等优点。然而LiDAR获取的数据主要是离散激光点云,具有高精度的空间结构信息而缺少纹理和光谱信息。将LiDAR数据和遥感影像数据进行融合将是当今测绘科学研究的方向之一。融合影像数据和点云数据的关键步骤就是将两者进行高精度的配准。
文摘The technique of image matching is the basis of image fusion,image mosaic and scene 3D reconstruction.In the paper a novel image registration method based on SUSAN operator is proposed.Firstly,Corner points are extracted by using SUSAN(Smallest Univalue Segment Assimilating Nucleus) operator.Then matched corner points are selected through coarse matching and fine matching.Based on such corner pairs,aerophotos are registered automatically.
