Interpolation of Three-Dimensional (3-D) Light Detection and Ranging (LiDAR) Point Cloud Data onto a Uniform Upsampled Grid
Final rept. Sep 2012-Dec 2012
ARMY RESEARCH LAB ADELPHI MD SENSORS AND ELECTRON DEVICES DIRECTORATE
Pagination or Media Count:
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 results in scanning data that form a non-uniformly sampled three-dimensional 3-D point cloud. To interpret and further process the point cloud, these raw data are usually converted to digital elevation models DEMs in a uniform and upsampled raster format. For this, the elevation information from the available non-uniform point cloud is mapped onto the uniform grid points and the grid points with missing elevation information are filled by using interpolation techniques. In this report, a partial differential equations PDE based approach is proposed to perform this interpolation. Due to the desirable effects of using higher order PDEs, smoothness is maintained over homogeneous regions, while reducing the draping effects near the edges of distinctive objects in the scene. Simulation results are presented in this report to illustrate the advantages of the proposed algorithm.
- Numerical Mathematics
- Active and Passive Radar Detection and Equipment