摘要
从地面三维激光扫描数据的预处理(数据组织、噪音去除、数据简化和压缩以及多站点云配准),点云面片分割和模型重建(边界点提取和边界规则化)等方面,阐述了该技术在建筑物三维建模过程中的相关算法及研究进展,分析了各种算法的特点,最后对利用地面激光扫描数据进行建筑物重建研究中存在的问题和未来发展进行了展望。
Building reconstruction from points cloud acquired by Terrestrial Laser Scanning (TLS)equipment is a hot research topic in digital urban application.Nowadays,there are many algorithms suitable for ALS data and building reconstruction applications,however,they are not always effective or efficient for TLS.The paper analyzed the algorithms and progress in building reconstruction from TLS data,including huge points cloud data organization,filter,reduction and multi-position data registration,as well as facade segmentation and model reconstruction were explored in detail.The merits and shortages of them were explained,and current research problems and suggestions,and future progress in 3D building reconstruction were provided in this paper.
出处
《遥感信息》
CSCD
2014年第6期118-124,共7页
Remote Sensing Information
基金
国家重大科学仪器设备开发专项(2013YQ120343)
国家自然科学基金项目(41301485)
中国科学院百人计划专项(09ZZ06101B)
关键词
地面三维激光扫描
点云数据
建筑物
三维重建
3D terrestrial laser scanning
point cloud
building
3D reconstruction
