pdal/filters_outlier 1.8.0

alg install pdal/filters_outlier
Filters.Outlier
Algorithm Description

The Outlier filter provides two outlier filtering methods: radius and statistical. These two approaches are discussed in further detail below. It is worth noting that both filtering methods simply apply a classification value of 7 to the noise points (per the LAS specification). To remove the noise points altogether, users can add a range filter to their pipeline, downstream from the outlier filter. This algorithm is ported from the excellent PDAL - Point Data Abstraction Library. For more information please refer to https://pdal.io.

License

BSD

Homepage

https://pdal.io/stages/filters.outlier.html#filters-outlier

Parameters
Name Description Data Type Required?
class The classification value to apply to outliers. integer
input_pipeline_json JSON pipeline which this will be added to. string
mean_k Mean number of neighbors (statistical method only). integer
method The outlier removal method. string
min_k Minimum number of neighbors in radius (radius method only). integer
multiplier Standard deviation threshold (statistical method only). float
radius Radius (radius method only). float
Outputs
Name Description Data Type
output_pipeline_json Pipeline Json string
Versions

  • 1.8.0 (current)