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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)