城市景观点云的自动结构检测

G. Sithole, G. Vosselman
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引用次数: 121

摘要

提出了一种从不规则空间的城市景观点云中检测城市结构的方法。该方法特别设计用于检测裸露地面的延伸结构(例如,桥梁、坡道等)。该方法首先对点云进行分割,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,其中点云被表示为一组正交的轮廓。针对结构检测问题,提出了景观的概念和逻辑模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic structure detection in a point-cloud of an urban landscape
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.
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