文章基本信息

标题：BUILDING RECONSTRUTION AND VISUALIZATION FROM LIDAR DATA
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作者：G. Forlani ; C. Nardinocchi ; M. Scaioni 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2003
卷号：XXXIV-5/W12
出版社：Copernicus Publications
摘要：A strategy for building extraction and building reconstruction from dense LIDAR data is presented. Roofs are modeled as plane surfaces, connected along ridges and bordered by the eaves lines. Initial segmentation of terrain and non-terrain features is performed on grid data; after segmentation by region growing and region topology, classification is achieved based on a hierarchical set of aggregation rules. Areas labelled as potential buildings are further segmented in plane surfaces (roofs slopes) based on gradient orientation and plane fitting by RANSAC; a similar procedure applies to edge pixels to extract eaves lines. The topology of the roof slopes and walls is reconstructed, deriving also roof ridges and roof corners. A 3D model of the building is thereafter obtained which can be imported in CAD and visualization environments, such as those provided by the VTP group. Results from a laser scanning survey with a ground resolution of 1 m are presented for a suburban area in Pavia
关键词：Range images; Segmentation; Terrain Classification; Building extraction and 3D reconstruction