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)