This page describes how to use the extension “Point Cloud Change Detection”
Main Toolbar > Extensions > Point Cloud Change Detection
The “Point Cloud Change Detection” extension makes it possible to compare
The change between two point clouds can be analyzed by dividing the point cloud in voxels and counting the number of added and removed points within every voxel.
Point cloud change detection projects and associated files are stored next to the source point cloud.
Every point cloud from the datasetlist can be selected in the source dropdown list.
The active pointcloud from the datasetlist can be added as the pointcloud that will be compared with the source point cloud.
The area wherein the change analysis will be executed can be drawn in the map component, added from the selected objects or the drawn fence.
The selected area is divided in voxels with a defined size. For every voxel, the change detection will give information on how many points are added or removed.
For less dense point clouds, a higher voxel size should be used.
The minimum number of points that should be added or removed in a voxel in order to add the voxel to the result datasets.
The minimum number of voxels that should be around a voxel in order to consider the voxel. This to exclude isolated voxels.
The change_voxels vector file includes all the voxels that have added or removed points in the change analysis. Every voxel has the attributes:
Depending on the chosen output parameters, the following results are available:
This change_voxel_clusters vector file clusters the voxels that are within the clustering distance. Every cluster has the attributes:
The results are two opc and ops files: