Automatic structure detection in a point-cloud of an urban landscape

被引：52
|
作者：
Sithole, G [1 ]
Vosselman, G [1 ]
机构：
[1] Delft Univ Technol, NL-2629 JA Delft, Netherlands
来源：
2ND GRSS/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS | 2003年
关键词：
classification; LIDAR segmentation; surface reconstruction;
D O I：
10.1109/DFUA.2003.1219959
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：67 / 71
页数：5
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