Point cloud filtering

Run Point Cloud Filters tool in Product Generation perspective makes possible to apply the filters from Iterative LiDAR noise filtering to a selection of Lidar takes or Infocloud product generation job results existing in a HxMap project.

The output location of Run Point Cloud Filters in Product Generation is dependent on the input data:

• When LiDAR takes are input:

  • the output is written back to the Block which was used in creating the HxMap project

  • filtered results can be passed as input to follow on classification or product generation tasks by again selecting the Lidar takes

• When Infocloud job results are input:

  • the user will be prompted to define a new output location

  • the output will be added as a new job result to the project which can be selected as input to follow on classification and product generation tasks

Amplitude and KDE filters are not available in Run Point Cloud Filters from Product Generation perspective. In case these filters are needed they should be applied to Lidar takes in QC Perspective following Iterative LiDAR noise filtering .

Run Point Cloud Filters is required to be applied to Infocloud job results as a first step before continuing to point cloud classification and DEM product generation. It is recommended to only use the Cluster filter with Infocloud input to reduce noise from image matching.