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Proceedings Paper

Uniform grid upsampling of 3D lidar point cloud data
Author(s): Prudhvi Gurram; Shuowen Hu; Alex Chan
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Paper Abstract

Airborne laser scanning light detection and ranging (LiDAR) systems are used for remote sensing topology and bathymetry. The most common data collection technique used in LiDAR systems employs a linear mode scanning. The resulting scanning data form a non-uniformly sampled 3D point cloud. To interpret and further process the 3D point cloud data, these raw data are usually converted to digital elevation models (DEMs). In order to obtain DEMs in a uniform and upsampled raster format, the elevation information from the available non-uniform 3D point cloud data are mapped onto the uniform grid points. After the mapping is done, the grid points with missing elevation information are lled by using interpolation techniques. In this paper, partial di erential equations (PDE) based approach is proposed to perform the interpolation and to upsample the 3D point cloud onto a uniform grid. Due to the desirable e ects of using higher order PDEs, smoothness is maintained over homogeneous regions, while sharp edge information in the scene well preserved. The proposed algorithm reduces the draping e ects near the edges of distinctive objects in the scene. Such annoying draping e ects are commonly associated with existing point cloud rendering algorithms. Simulation results are presented in this paper to illustrate the advantages of the proposed algorithm.

Paper Details

Date Published: 12 March 2013
PDF: 11 pages
Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 86500B (12 March 2013); doi: 10.1117/12.2004200
Show Author Affiliations
Prudhvi Gurram, U.S. Army Research Lab. (United States)
Shuowen Hu, U.S. Army Research Lab. (United States)
Alex Chan, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 8650:
Three-Dimensional Image Processing (3DIP) and Applications 2013
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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