sample_maxima {lidR} | R Documentation |
Point Cloud Decimation Algorithm
Description
These functions are made to be used in decimate_points. They implement algorithms that create a grid with a given resolution and filters the point cloud by selecting the highest/lowest point within each cell.
Usage
highest(res = 1)
lowest(res = 1)
Arguments
res |
numeric. The resolution of the grid used to filter the point cloud |
See Also
Other point cloud decimation algorithms:
sample_homogenize
,
sample_per_voxel
,
sample_random
Other point cloud decimation algorithms:
sample_homogenize
,
sample_per_voxel
,
sample_random
Examples
LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
las = readLAS(LASfile, select = "xyz")
# Select the highest point within each cell of an overlayed grid
thinned = decimate_points(las, highest(4))
#plot(thinned)
# Select the lowest point within each cell of an overlayed grid
thinned = decimate_points(las, lowest(4))
#plot(thinned)
[Package lidR version 4.1.2 Index]