LIS Thinning - point cloud thinning and homogenization
This package contains tools for point cloud thinning, including 2D and 3D blockthinning, TIN-based thinning as well as tools for adaptive thinning based on local surface roughness.
Tool: Block Thinning 2D
| Features |
|---|
| • thinning of a point cloud by 2D block filtering (from all points contained within a 2D grid cell only one is kept) |
| • filter methods: lowest, highest, nearest (cell center), mean, median, min(attribute), max(attribute) |
| Applications |
|---|
| • point cloud thinning / data reduction |
| • point cloud thinning based on attribute value, e.g., point with highest intensity value is kept |
| • homogenization of point density |
Tool: Block Thinning 3D
| Features |
|---|
| • thinning of a point cloud by 3D block filtering (from all points contained within a 3D voxel only one is kept) |
| • filter methods: lowest, highest, nearest (voxel center), mean, median, z-slice mean, min(attribute), max(attribute), center |
| Applications |
|---|
| • point cloud thinning / data reduction |
| • point cloud thinning based on attribute value, e.g., point with highest intensity value is kept |
| • homogenization of point density |
Tool: Delaunay Thinning 2D
| Features |
|---|
| • thinning is controlled by a deviation tolerance describing the elevation difference allowed between the 2D triangulation of the thinned point cloud and that of the original point cloud |
| • points with a high curvature, e.g., along breaklines, can be kept, optional |
| • output of the final (thinned) TIN as 3D shapes layer, optional |
| Applications |
|---|
| • point cloud thinning / data reduction |
| • TIN generation (3D shapes layer) |
| • detection of (terrain) keypoints |
Tool: Segment Centroids
| Features |
|---|
| • condense segments to their centroids |
| • optional: output of mean attribute value per segment |
| Applications |
|---|
| • point cloud segmentation |
| • object based analysis/classification |
Tool: Segment Thinning
| Features |
|---|
| • thinning of points on point cloud segments by 3D block filtering |
| • filter methods: lowest, highest, nearest, mean, median, z-slice mean, min(attribute), max(attribute), center |
| Applications |
|---|
| • point cloud thinning |
Tool: Thinning by Surface Roughness
| Features |
|---|
| • thinning of a point cloud (e.g., a bare earth model) in consideration of surface roughness |
| • areas with a low surface roughness will be thinned out more rigorous than areas with a high roughness |
| • additional output: final (thinned) TIN as 3D shapes layer |
| • TIN can be constrained to data, optional |
| • detection of (terrain) breaks by normal vector difference, optional |
| Applications |
|---|
| • point cloud thinning / data reduction |
| • TIN generation (3D polygon shapes layer) |
| • detection of (terrain) keypoints |