DocumentCode
2746349
Title
Automatic structure detection in a point-cloud of an urban landscape
Author
Sithole, G. ; Vosselman, G.
fYear
2003
fDate
22-23 May 2003
Firstpage
67
Lastpage
71
Abstract
A method for detecting urban structures in an irregularly spaced point-cloud of an urban landscape is proposed. The method is especially designed for detecting structures that are extensions to the bare-earth (e.g., bridges, ramps, etc.,). The method involves a segmentation of a point-cloud followed by a classification. Both the segmentation and classification of the data are based on the analysis of a data structure in which the point-cloud is represented as an orthogonal set of profiles. Also proposed is a conceptual and logical model of the landscape for the structure detection problem.
Keywords
data analysis; image classification; image segmentation; object detection; remote sensing by radar; terrain mapping; LIDAR; automatic structure detection; data classification; data structure analysis; orthogonal profile set; point-cloud segmentation; surface reconstruction; urban landscape; urban structures detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing and Data Fusion over Urban Areas, 2003. 2nd GRSS/ISPRS Joint Workshop on
Conference_Location
Berlin, Germany
Print_ISBN
0-7803-7719-2
Type
conf
DOI
10.1109/DFUA.2003.1219959
Filename
5731001
Link To Document