Facade extraction from oblique point cloud considering geometrical and color information

doi:10.6046/gtzyyg.2016.04.07

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Abstract

Aimed at tackling the difficulty in extracting facade from point cloud derived from dense matching of multi-angle airborne oblique images, this paper proposes a facade extraction method considering point cloud geometrical and color information. This method calculates normal vector for each point in the point cloud, and then uses the orientation of the normal vector for initial facade segmentation. After that, color information is used to remove point cloud about vegetation. On the basis of the initial result, the remaining ground points are removed. Finally, clustering analysis is used to refine the result, and facade point cloud can be obtained. Two groups of data sets are used for experiments, and the results reveal that the proposed method can automatically extract the facade of the building, with the completeness and correctness up to 90%, and the accuracy is more than 83%, thus providing the basis for the subsequent facade reconstruction.

Keywords mine remote sensing monitoring production data compilation quality checking ArcGIS engine(AE) plug-in XML schema definition(XSD)

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Issue Date: 20 October 2016

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	DIAO Mingguang
	XUE Tao
	LI Jiancun
	LI Wenji
	LIANG Jiandong

Cite this article:

DIAO Mingguang,XUE Tao,LI Jiancun, et al. Facade extraction from oblique point cloud considering geometrical and color information[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 43-48.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.04.07 OR https://www.gtzyyg.com/EN/Y2016/V28/I4/43

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