CAJ | 학술논문

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。
종지면삼유격광소묘수거적예처리（수거조직、조음거제、수거간화화압축이급다참점운배준），점운면편분할화모형중건（변계점제취화변계규칙화）등방면，천술료해기술재건축물삼유건모과정중적상관산법급연구진전，분석료각충산법적특점，최후대이용지면격광소묘수거진행건축물중건연구중존재적문제화미래발전진행료전망。
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.