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：2009
卷号：XXXVIII-3/W4
页码：13-18
出版社：Copernicus Publications
摘要：Today, one of the main applications of multi-source aerial data is the city modelling. The capability to automatically detect objects ofinterest starting from LiDAR and multi-spectral data is a complex and an open problem. The information obtained can be also used forcity planning, change detection, road graph update, land cover/use. In this paper we present an automatic approach to object extractionin urban area; the proposed approach is based on different sequential stages. The first stage basically solves a multi-class supervisedpixel based classification problem (building, grass, land and tree) using a boosting algorithm; after classification, the next step providesto extract and filter land areas from classified data; the last step extracts roundabouts by the Hough transform and linear roads by a novelapproach, which is robust to noise (sparse pixels); the final representation of extracted roads is a graph where each node represents across between two or more roads. Results on a real dataset of Mannheim area (Germany) using both LiDAR (first - last pulses) andmulti-spectral high resolution data (Red - Green - Blue - Near Infrared) are presented
关键词：LiDAR; buildings; road extraction; automated classification; city models
