filters.radiusoutlier¶
The Radius Outlier filter passes data through the Point Cloud Library (PCL) RadiusOutlierRemoval algorithm.
RadiusOutlierRemoval filters points in a cloud based on the number of neighbors
they have. Iterates through the entire input once, and for each point, retrieves
the number of neighbors within a certain radius. The point will be considered an
outlier if it has too few neighbors, as determined by min_neighbors
. The
radius can be changed using radius
.
Example¶
{
"pipeline":[
"input.las",
{
"type":"filters.radiusoutlier",
"min_neighbors":"4"
},
{
"type":"writers.las",
"filename":"output.las"
}
]
}
Options¶
- min_neighbors
- Minimum number of neighbors in radius. [Default: 2]
- radius
- Radius. [Default: 1.0]
- classify
- Apply classification labels? [Default: true]
- extract
- Extract ground returns? [Default: false]