Separates point clouds into multiple features based on component values, color, or first/last return.

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Typical Uses

  • Separating a point cloud into subsets based on component values or value ranges
  • Isolating points in a point cloud based on component values, value ranges, or first/last returns

How does it work?

The PointCloudSplitter receives point cloud features and divides them into individual point clouds, based on either unique component values or ranges of values.

The split may be performed on any numeric component, with two Split Types available:

  • Unique: All unique values that exist for the selected component will be automatically identified, and one point cloud output for each value. Optionally, specific Unique Values to Keep may be chosen and only those component values will generate output features.
  • Range: Ranges of values are specified, and one point cloud is output for each range. Ranges may be generated. At least one range must be specified. Any points that fall outside of all specified ranges are assigned a default value.

The transformer also has Split By First Return Only and Last Return Only options, which keep only the first and last returns, respectively, and discard all other points. Split By Color operates on ranges of RGB values.

In all cases, an Output Attribute may be added to the output features, identifying the split value.


Usage Notes

  • The PointCloudFilter provides similar functionality. It can split point clouds with more complex expressions, and provides multiple output ports, one per filter criteria. However, it does not split on automatic identification of unique values or perform simple first/last return filtering, as the PointCloudSplitter does.

Choosing a Point Cloud Transformer

FME has a selection of transformers for working specifically with point cloud data.

For information on point cloud geometry and properties, see Point Clouds (IFMEPointCloud).


Input Ports

Output Ports


Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.


Processing Behavior


Feature Holding


Dependencies None

FME Community

The FME Community is the place for demos, how-tos, articles, FAQs, and more. Get answers to your questions, learn from other users, and suggest, vote, and comment on new features.

Search for all results about the PointCloudSplitter on the FME Community.


Examples may contain information licensed under the Open Government Licence – Vancouver and/or the Open Government Licence – Canada.

Keywords: point "point cloud" cloud PointCloud LiDAR sonar