CspStandSegmentation (version 0.1.2)

add_geometry: Add geometric features to a LAS object

Description

The function calls a fast cpp multi-core function to calculate eigenvalues for the points in a point cloud based on the k nearest neighbors. Afterwards it adds geometric features like Curvature, Linearity, Planarity, Sphericity, Anisotrophy and Verticlity to the points itself.

Usage

add_geometry(las, k = 10L, n_cores = 1)

Value

The function returns a single LAS object with the geometric features attached to it in the LAS@data section.

Arguments

las

A LAS object (see lidR::LAS)

k

the k nearest neighbors to use for the eigenvalue calculation

n_cores

The number of CPU cores to use

Author

Julian Frey <[e-mail]>

Details

Details of the metrics can be found in: Hackel, T., Wegner, J.D. & Schindler, K. (2016) Contour Detection in Unstructured 3D Point Clouds. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Presented at the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, NV, USA, pp. 1610-1618.

Examples

# \donttest{
LASfile <- system.file("extdata", "beech.las", package="CspStandSegmentation")
las <- lidR::readLAS(LASfile, select = "xyz")

las <- add_geometry(las, k = 5, n_cores = 2)
summary(las@data)
# }