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

Automatic structure detection in a point-cloud of an urban landscape
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DOI:
10.1109/dfua.2003.1219959
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发表时间:
2003-05
期刊:
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas
影响因子:
--
通讯作者:
G. Sithole;G. Vosselman
G. Sithole;G. Vosselman
中科院分区:
其他
文献类型:
--
作者:
G. Sithole;G. Vosselman

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提出了一种在城市景观的不规则间隔点云中检测城市结构的方法。该方法专门设计用于检测裸露地面的延伸结构(例如桥梁、坡道等)。该方法涉及对点云进行分割,然后进行分类。数据的分割和分类都是基于对数据结构的分析,其中点云表示为一组正交的剖面。还提出了用于结构检测问题的景观概念和逻辑模型。
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.