wbt_lidar_segmentation {whitebox} | 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 = 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. |
verbose_mode |
Sets verbose mode. If verbose mode is False, tools will not print output messages. |
Returns the tool text outputs.