Contour Extraction of UAV Point Cloud Based on Neighborhood Geometric Features of Multi-Level Growth Plane

Sie sind hier: Homepage > Suche

Contour Extraction of UAV Point Cloud Based on Neighborhood Geometric Features of Multi-Level Growth Plane

Freier Zugriff

Xijiang Chen / Qing An / Bufan Zhao / Wuyong Tao / Tieding Lu / Han Zhang / Xianquan Han / Emirhan Ozdemir

The extraction of UAV building point cloud contour points is the basis for the expression of a three-dimensional lightweight building outline. Previous unmanned aerial vehicle (UAV) building point cloud contour extraction methods have mainly focused on the expression of the roof contour, but did not extract the wall contour. In view of this, an algorithm based on the geometric features of the neighborhood points of the region-growing clustering fusion surface is proposed to extract the boundary points of the UAV building point cloud. Firstly, the region growth plane is fused to obtain a more accurate segmentation plane. Then, the neighboring points are projected onto the neighborhood plane and a vector between the object point and neighborhood point is constructed. Finally, the azimuth of each vector is calculated, and the boundary points of each segmented plane are extracted according to the difference in adjacent azimuths. Experiment results show that the best boundary points can be extracted when the number of adjacent points is 24 and the difference in adjacent azimuths is 120. The proposed method is superior to other methods in the contour extraction of UAV buildings point clouds. Moreover, it can extract not only the building roof contour points, but also the wall contour points, including the window contour points.

Zugriff

Download

Exportieren, teilen und zitieren

Dokumentinformationen

Titel :

Contour Extraction of UAV Point Cloud Based on Neighborhood Geometric Features of Multi-Level Growth Plane

Beteiligte:

Xijiang Chen (Autor:in) / Qing An (Autor:in) / Bufan Zhao (Autor:in) / Wuyong Tao (Autor:in) / Tieding Lu (Autor:in) / Han Zhang (Autor:in) / Xianquan Han (Autor:in) / Emirhan Ozdemir (Autor:in)

Erschienen in:

Drones, Vol 8, Iss 6, p 239 (2024)

Erscheinungsdatum :

2024

ISSN :

2504-446X

DOI :

https://doi.org/10.3390/drones8060239

Medientyp :

Aufsatz (Zeitschrift)

Format :

Elektronische Ressource