基于移动激光扫描数据的建筑物精细化建模研究

随着"数字城市"的发展,各行各业对空间数据需求不断增高,三维建模是"数字城市"的重要组成部分,传统的建筑物三维建模方法耗时耗力、精度低、采用接触式测量,这种采集方法和数据处理方式已不能满足数字化的需要。移动激光扫描技术的出现,改变了传统的的数据采集方式,为空间三维信息的获取提供了全新的技术手段。通过移动激光扫描技术获取的空间点云数据,可以建立结构错综和不规则场景的建筑物模型。鉴于传统方法的不足和移动激光扫描技术的特点,提出移动扫描技术三维建模的方法,以云南师范大学商学院的激光扫描为例,首先通过将获取的点云数据的配准、拼接、降噪、POS解算、IE解算和点云数据融合,然后进行精细三维建模。

Research on Refined Modeling Based on Moving Laser Scan Data

With the construction of spatial data requirements in all walks of life in the digital city information era, urban 3 D modeling is an important part of "digital city". Traditional data acquisition methods and data processing modes can no longer meet the needs of digital informationization. The traditional building 3 D modeling method is time-consuming and labor-intensive, has low precision, uses contact measurement, and can only obtain a small number of feature points and linear data of the building. The emergence of Mobile Laser Scanning(MLS) technology has changed the way of data collection and provided a new technical means for the acquisition of spatial three-dimensional information. Using the spatial point cloud data acquired by the mobile laser scanning technology, a three-dimensional model of a complex and irregular scene can be quickly established, and any distance, area, and volume measurement results can be quickly obtained. This paper proposes a method for 3 D modeling using MLS data. Taking the laser scanning of the Business School of Yunnan Normal University as an example, through the registration, splicing, noise reduction, POS solution, IE solution and point cloud of point cloud data. Research on data processing technologies such as data fusion to solve the fine modeling using laser scanning technology. Building modeling accuracy using mobile laser scanning measurement methods to collect point cloud data is superior to traditional measurement methods. The research results can be applied to the restoration of cultural relics such as ancient buildings, deformation monitoring, virtual reproduction and so on.