文章基本信息

标题：A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE
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作者：H. Fan
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：2012
卷号：XXXIX-B3
页码：97-102
DOI：10.5194/isprsarchives-XXXIX-B3-97-2012
出版社：Copernicus Publications
摘要：This paper is addressed to an approach for segmenting airborne laser scanning point cloud. It aims to detect and cluster point cloud of an input roof into several segments that are corresponding to plane patches of the roof. The algorithm is developed based on the assumption that every non-flat roof can be decomposed into a set of gabled and/or hipped roof. The process detects roof ridges at first, and then detects points along each roof ridge. The experiments shows high efficiency and low error segmentation of the algorithm
关键词：3D building; Segmentation; laser scanning; roof reconstruction