View source: R/lidar_analysis.R
wbt_lidar_segmentation | R Documentation |
Segments a LiDAR point cloud based on differences in the orientation of fitted planar surfaces and point proximity.
wbt_lidar_segmentation(
input,
output,
radius = 2,
num_iter = 50,
num_samples = 10,
threshold = 0.15,
model_size = 15,
max_slope = 80,
norm_diff = 10,
maxzdiff = 1,
classes = FALSE,
ground = FALSE,
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
input |
Input LiDAR file. |
output |
Output LiDAR file. |
radius |
Search Radius. |
num_iter |
Number of iterations. |
num_samples |
Number of sample points on which to build the model. |
threshold |
Threshold used to determine inlier points. |
model_size |
Acceptable model size. |
max_slope |
Maximum planar slope. |
norm_diff |
Maximum difference in normal vectors, in degrees. |
maxzdiff |
Maximum difference in elevation (z units) between neighbouring points of the same segment. |
classes |
Segments don't cross class boundaries. |
ground |
Classify the largest segment as ground points?. |
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 |
Returns the tool text outputs.
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