sample_per_voxel: Point Cloud Decimation Algorithm

sample_per_voxelR Documentation

Point Cloud Decimation Algorithm

Description

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

Usage

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

See Also

Other point cloud decimation algorithms: sample_homogenize, sample_maxima, sample_random

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)

lidR documentation built on Sept. 11, 2024, 5:21 p.m.