sample_per_voxel function

Point Cloud Decimation Algorithm

This functions is made to be used in decimate_points . It implements an algorithm that creates a 3D grid with a given resolution and filters the point cloud by randomly selecting n points within each voxel

random_per_voxel(res = 1, n = 1)

Arguments

• res: numeric. The resolution of the voxel grid used to filter the point cloud
• n: integer. The number of points to select

Examples

LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
las <- readLAS(LASfile, select = "xyz")
thinned <- decimate_points(las, random_per_voxel(8, 1))
#plot(thinned)

See Also

Other point cloud decimation algorithms: sample_homogenize, sample_maxima, sample_random