ransac_circle_fit

This function fits a circle to a set of points using the RANSAC algorithm it maximizes the points that are in the circle and the number of filled 36 degree angle segments
Therefore, this function searches for the most complete circle with the highest number of points represented.

Functionality for segmenting individual trees from a forest stand scanned with a close-range (e.g., terrestrial or mobile) laser scanner. The complete workflow from a raw point cloud to a complete tabular forest inventory is provided. The package contains several algorithms for detecting tree bases and a graph-based algorithm to attach all remaining points to these tree bases. It builds heavily on the 'lidR' package. A description of the segmentation algorithm can be found in Larysch et al. (2025) <doi:10.1007/s10342-025-01796-z>.

Julian Frey

CspStandSegmentation

Comparative Shortest Path Forest Stand Segmentation from LiDAR
Data

ransac_circle_fit function

<dl><dt>data</dt>
<dd>numeric matrix with 2 columns (X, Y) representing the point cloud</dd>
<dt>n_iterations</dt>
<dd>integer maximum number of iterations</dd>
<dt>distance_threshold</dt>
<dd>numeric maximum distance from a point to the circle to be considered an inlier</dd>
<dt>min_inliers</dt>
<dd>integer minimum number of inliers to consider the circle as valid</dd></dl>

Arguments

RANSAC circle fitting algorithm specially adapted for tree DBH estimation — ransac_circle_fit

<dl>

<dt>data</dt>
<dd>numeric matrix with 2 columns (X, Y) representing the point cloud</dd>


<dt>n_iterations</dt>
<dd>integer maximum number of iterations</dd>


<dt>distance_threshold</dt>
<dd>numeric maximum distance from a point to the circle to be considered an inlier</dd>


<dt>min_inliers</dt>
<dd>integer minimum number of inliers to consider the circle as valid</dd>

</dl>

ransac_circle_fit: RANSAC circle fitting algorithm specially adapted for tree DBH estimation

Description

Usage

Value

Arguments