wbt_classify_lidar {whitebox} | R Documentation |
Classify lidar
Description
Classify points within a LiDAR point cloud based on point properties.
Usage
wbt_classify_lidar(
input,
output = NULL,
radius = 1.5,
grd_threshold = 0.1,
oto_threshold = 2,
planarity_threshold = 0.85,
linearity_threshold = 0.7,
iterations = 30,
facade_threshold = 0.5,
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
Arguments
input |
Name of the input LiDAR points. |
output |
Name of the output LiDAR points. |
radius |
Search distance used in neighbourhood search (metres). |
grd_threshold |
Ground threshold (metres). |
oto_threshold |
Off-terrain object threshold (metres). |
planarity_threshold |
Planarity threshold (0-1). |
linearity_threshold |
Linearity threshold (0-1). |
iterations |
Number of iterations. |
facade_threshold |
Facade threshold (metres). |
wd |
Changes the working directory. Default: |
verbose_mode |
Sets verbose mode. If verbose mode is |
compress_rasters |
Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: |
command_only |
Return command that would be executed by |
Value
Returns the tool text outputs.