thin.point.cloud: Point cloud thinning
In niknap/LidarProcessoR: Collection of R functions for Lidar data processing
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Function that thins a point cloud to a desired homogenous
horizontal point density by keeping a random subset of points
of a desired size in each spatial cell and discarding all other points.
Usage
1
thin.point.cloud(pc, cell.size = 1, returns.per.cell = 4)
Arguments
pc
Point cloud in XYZ-table format (important: column names need to be X, Y and Z)
cell.size
Side length of a spatial unit
returns.per.cell
Number of returns that should be kept in each cell
Value
data.frame of the thinned point cloud in XYZ-table format
Author(s)
Nikolai Knapp, nikolai.knapp@ufz.de
Examples
1
in progress
niknap/LidarProcessoR documentation built on May 29, 2019, 7:18 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Function that thins a point cloud to a desired homogenous horizontal point density by keeping a random subset of points of a desired size in each spatial cell and discarding all other points.
Usage
1 | thin.point.cloud(pc, cell.size = 1, returns.per.cell = 4)
|
Arguments
pc |
Point cloud in XYZ-table format (important: column names need to be X, Y and Z) |
cell.size |
Side length of a spatial unit |
returns.per.cell |
Number of returns that should be kept in each cell |
Value
data.frame of the thinned point cloud in XYZ-table format
Author(s)
Nikolai Knapp, nikolai.knapp@ufz.de
Examples
1 | in progress
|
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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