View source: R/lidar_analysis.R
wbt_lidar_rooftop_analysis | R Documentation |
Identifies roof segments in a LiDAR point cloud.
wbt_lidar_rooftop_analysis(
buildings,
output,
input = NULL,
radius = 2,
num_iter = 50,
num_samples = 10,
threshold = 0.15,
model_size = 15,
max_slope = 65,
norm_diff = 10,
azimuth = 180,
altitude = 30,
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
buildings |
Input vector build footprint polygons file. |
output |
Output vector polygon file. |
input |
Input 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 (in elevation units). |
model_size |
Acceptable model size, in points. |
max_slope |
Maximum planar slope, in degrees. |
norm_diff |
Maximum difference in normal vectors, in degrees. |
azimuth |
Illumination source azimuth, in degrees. |
altitude |
Illumination source altitude in degrees. |
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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