pdal/filters_dem 1.8.0
alg install pdal/filters_dem
Filters.DEM
Algorithm Description
filters.dem uses a raster to keep data within a range of the raster cell. For example, atmospheric or MTA noise in a scene can be quickly removed by keeping all data within 100m above and 20m below a pre-existing elevation model. 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.dem.html#filters-dem
Parameters
Name | Description | Data Type | Required? |
---|---|---|---|
band | GDAL Band number to read (count from 1) | integer | |
input_pipeline_json | JSON pipeline which this will be added to. | string | |
limits | A Range that defines the dimension and the magnitude above and below the value of the given dimension to filter. The following example would keep all Z point cloud values that are within 100 units above and 20 units below the elevation model value at the given X and Y value: Z[20:100] | string | |
raster | GDAL readable raster data to use for filtering. (filename) | string |
Outputs
Name | Description | Data Type |
---|---|---|
output_pipeline_json | Pipeline Json | string |
Versions
- 1.8.0 (current)