tlsNormalize: Normalize a TLS point cloud
In TreeLS: Terrestrial Point Cloud Processing of Forest Data
Description
Usage
Arguments
Value
Examples
Description
Fast normalization of TLS point clouds based on a Digital Terrain Model (DTM) of the ground points. If the input's ground points are not yet classified, the csf algorithm is applied internally.
Usage
1
tlsNormalize(las, min_res = 0.25, keep_ground = TRUE)
Arguments
las
LAS object.
min_res
numeric - minimum resolution of the DTM used for normalization, in point cloud units.
keep_ground
logical - if FALSE removes the ground points from the output.
Value
LAS object.
Examples
1
2
3
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5
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8
file = system.file("extdata", "pine_plot.laz", package="TreeLS")
tls = readTLS(file)
plot(tls)
rgl::axes3d(col='white')
tls = tlsNormalize(tls, 0.5, FALSE)
plot(tls)
rgl::axes3d(col='white')
TreeLS documentation built on Aug. 26, 2020, 5:14 p.m.
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Description Usage Arguments Value Examples
Description
Fast normalization of TLS point clouds based on a Digital Terrain Model (DTM) of the ground points. If the input's ground points are not yet classified, the csf algorithm is applied internally.
Usage
1 | tlsNormalize(las, min_res = 0.25, keep_ground = TRUE)
|
Arguments
las |
|
min_res |
|
keep_ground |
|
Value
LAS object.
Examples
1 2 3 4 5 6 7 8 | file = system.file("extdata", "pine_plot.laz", package="TreeLS")
tls = readTLS(file)
plot(tls)
rgl::axes3d(col='white')
tls = tlsNormalize(tls, 0.5, FALSE)
plot(tls)
rgl::axes3d(col='white')
|
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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