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whitebox (version 2.1.0)

wbt_lidar_segmentation: Lidar segmentation

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,
  compress_rasters = 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.

compress_rasters

Sets the flag used by WhiteboxTools to determine whether to use compression for output rasters.

Value

Returns the tool text outputs.