tlsSample: Resample a point cloud
In TreeLS: Terrestrial Point Cloud Processing of Forest Data
Description
Usage
Arguments
Value
Examples
Description
Applies a sampling algorithm to reduce a point cloud's density. Sampling methods are prefixed by smp.
Usage
1
tlsSample(las, method = smp.voxelize())
Arguments
las
LAS object.
method
point sampling algorithm. Currently available: smp.voxelize and smp.randomize
Value
LAS object.
Examples
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file = system.file("extdata", "pine.laz", package="TreeLS")
tls = readTLS(file)
nrow(tls@data)
### sample points systematically from a 3D voxel grid
vx = tlsSample(tls, smp.voxelize(0.05))
nrow(vx@data)
### sample half of the points randomly
rd = tlsSample(tls, smp.randomize(0.5))
nrow(rd@data)
TreeLS documentation built on Aug. 26, 2020, 5:14 p.m.
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Description Usage Arguments Value Examples
Description
Applies a sampling algorithm to reduce a point cloud's density. Sampling methods are prefixed by smp.
Usage
1 | tlsSample(las, method = smp.voxelize())
|
Arguments
las |
|
method |
point sampling algorithm. Currently available: |
Value
LAS object.
Examples
1 2 3 4 5 6 7 8 9 10 11 | file = system.file("extdata", "pine.laz", package="TreeLS")
tls = readTLS(file)
nrow(tls@data)
### sample points systematically from a 3D voxel grid
vx = tlsSample(tls, smp.voxelize(0.05))
nrow(vx@data)
### sample half of the points randomly
rd = tlsSample(tls, smp.randomize(0.5))
nrow(rd@data)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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