文章基本信息

标题：Knowledge-Based Building Detection Based on Laser Scanner Data and Topographic Map Information
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作者：Alexandra D. Hofmann ; Hans-Gerd Maas ; André Streilein 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：2002
卷号：XXXIV Part 3 A
页码：169-174
出版社：Copernicus Publications
摘要：Laser scanner data is being increasingly used to obtain topographical and object height information for mapping and GIS tasks. Valuable information can be derived of the terrain and objects of a region. Different methods have been published to segment laser scanner data in order to extract information. This paper aims to discuss the extraction of buildings to transfer 2D building data into 3D building data of a higher accuracy. For this study, only laser scanner data and scanned topographical maps are to be used. The study can be divided into two parts: segmentation and detection. Firstly, the region-based segmentation method is used to delimit objects. Then a scanned topographic map, filtered and converted into a vector format, is utilised to locate already recorded houses. Buildings not contained in the map could be found by combination of segment attributes. The study shows promising results – more than 95% of the buildings were detected
关键词：Segmentation; building detection; airborne laser scanning