ptm.knn

<code>numeric</code> - number of nearest points to search per neighborhood.

<code>numeric</code> - search radius limit. If <code>r == 0</code>, no distance limit is applied.

This function is meant to be used inside <code><a rd-options="" href="/link/fastPointMetrics?package=TreeLS&version=2.0.2" data-mini-rdoc="TreeLS::fastPointMetrics">fastPointMetrics</a></code>. It calculates metrics for every point using its nearest neighbors (KNN).

High performance algorithms for manipulation of terrestrial 'LiDAR' (but not only) point clouds for use in research and forest monitoring applications, being fully compatible with the 'LAS' infrastructure of 'lidR'. For in depth descriptions of stem denoising and segmentation algorithms refer to Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.

Tiago de Conto

TreeLS

Terrestrial Point Cloud Processing of Forest Data

ptm.knn function

This function is meant to be used inside <code><a rd-options='' href='fastPointMetrics'>fastPointMetrics</a></code>. It calculates metrics for every point using its nearest neighbors (KNN).

ptm.knn: Point metrics algorithm: K Nearest Neighbors metrics

Description

Usage

Arguments