wbt_lidar_segmentation: Lidar segmentation

In whitebox: 'WhiteboxTools' R Frontend

Description

Segments a LiDAR point cloud based on differences in the orientation of fitted planar surfaces and point proximity.

Usage

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 = FALSE
)

Arguments

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.
verbose_mode	Sets verbose mode. If verbose mode is False, tools will not print output messages.

Value

Returns the tool text outputs.

whitebox documentation built on Sept. 7, 2020, 3 p.m.