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三维激光点云与序列数码影像配准方法的研究
引用本文:刘善勇. 三维激光点云与序列数码影像配准方法的研究[J]. 城市勘测, 2011, 0(4): 92-95
作者姓名:刘善勇
作者单位:中铁第四勘察设计院集团有限公司,湖北武汉,430063
基金项目:国家自然科学基金资助项目(41001305)
摘    要:
针对三维激光点云数据缺乏纹理信息,本文提出用数字微分纠正的方法将三维激光点云与序列影像进行配准,利用数码影像丰富的光谱信息弥补三维激光点云的不足。通过实验证明:与目前主流的单片直接线性变换配准方法相比,该方法提高了三维激光点云与数码影像配准的生产效率和自动化程度。

关 键 词:三维激光点云  序列图像  配准

Research on Laser Scanning Point Cloud Data and Digital Image Sequence Registration
Liu ShanYong. Research on Laser Scanning Point Cloud Data and Digital Image Sequence Registration[J]. Urban Geotechnical Investigation & Surveying, 2011, 0(4): 92-95
Authors:Liu ShanYong
Affiliation:Liu ShanYong(China Railway 4Th Survey and Design Group Co.,Ltd.Wuhan 430063,China)
Abstract:
Because of Laser Scanning Point Cloud Data point cloud lack of texture information,in this paper,Laser Scanning Point Cloud Data and image sequence registration based on the methods of Differential corrected figure is proposed.Using of digital images rich spectrum of information make up for lack of Laser Scanning Point Cloud Data.Proved through experiments: with the current mainstream monolithic direct linear transformation registration methods,this improve the Laser Scanning Point Cloud Data and digital im...
Keywords:laser scanning point cloud data  image sequence  registration  
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