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:2004
卷号:XXXV Part B3
页码:580-583
出版社:Copernicus Publications
摘要:This paper describes an algorithm framework for building recognition in urban area with laser scanned data (LIDAR) and image sequence. Three image sequences, two oblique photography to buildings' walls and one vertical photography to building's roof, and DSM from LIDAR data are used as sources of information. Classification and segmentation can be processed by combined multispectral information which is provided by color aerial image and geometric information from a laser scanned DSM . A homologue line matching, based on geometry constraint, is applied for automatically getting the corresponding line features in multi target images. We also discuss a intergrate step to 3-D model reconstruction by multiple data source based on Probabilistic approach
关键词:LIDAR ; Extraction; Matching; Modeling; Sequences Image; City