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PointCloudOnRasterComponentSetter

Sets point cloud component values by overlaying a point cloud on a raster. The component values for each point will be set from band values at the point location.

For example, a potential use case is to colorize a point cloud using orthophotos.

Input Ports

ClosedPointCloud

Point cloud features are input through this port.

ClosedRaster

Raster features are input through this port.

Output Ports

ClosedPointCloud

Point cloud features with updated component values are output through this port.

Parameters

Transformer

ClosedGroup By

If Group By attributes are selected, features with the same values in the Group By attributes are grouped together, and rasters are only used to set component values of point clouds in the same group.

ClosedParallel Processing

Note: How parallel processing works with FME: see About Parallel Processing for detailed information.

This parameter determines whether or not the transformer should perform the work across parallel processes. If it is enabled, a process will be launched for each group specified by the Group By parameter.

Parallel Processing Levels

Parameter Number of Processes
No Parallelism 1
Minimal coresThe processor, or CPU, is the physical part of the computer that performs mathematical calculations. It is the most important part of a computer system. Traditional processors have only one core on the processor, meaning that at any given time, only one set of calculations is being performed. If a processor is dual-core, this means the single chip contains hardware for two processors, now called cores to distinguish them from the single chip, running simultaneously, side by side. (Source: http://www.ehow.com/facts_5730257_computer-core-processors_.html) / 2
Moderate exact number of cores
Aggressive cores x 1.5
Extreme cores x 2

For example, on a quad-core machine, minimal parallelism will result in two simultaneous FME processes. Extreme parallelism on an 8-core machine would result in 16 simultaneous processes.

You can experiment with this feature and view the information in the Windows Task Manager and the Workbench Log window.

ClosedInput Ordered

No: This is the default behavior. Processing will only occur in this transformer once all input is present.

By Group: This transformer will process input groups in order. Changes on the value of the Group By parameter on the input stream will trigger batch processing on the currently accumulating group. This will improve overall speed if groups are large/complex, but could cause undesired behavior if input groups are not truly ordered.

Components

ClosedComponents to Set

Specifies which point cloud components should be set from the corresponding raster(s).

  • Color specifies that the color_red, color_green, and color_blue components of a point cloud should be set. In this case, the input rasters should have three selected bands.
  • Custom allows specification of an arbitrary list of components.

When specifying a custom list, the following values must be specified for each component:

  • Band specifies the band index from which values will be taken.
  • Component specifies the component whose values will be set.
  • Default Value specifies the value that will be set for points that are disjoint from all rasters.

Parameters

ClosedExtract Raster Nodata

This parameter specifies the behavior when a point lies on a raster nodata value. If set to Yes, the point component value will be set to the nodata value. If set to No, the raster will be skipped, and the next raster checked. If no rasters are found to cover the point, then the Default Values Overwrite Data parameter determines the behavior.

ClosedDefault Values Overwrite Data

This parameter specifies the behavior when no value can be found for a point from any raster, but the component already existed on the input point cloud. If set to Yes, the component value from the input point cloud will be preserved. If set to No, the component value will be set to the default value, either from the default value list or the FME default.

ClosedInterpolation Type

Cell values are interpolated to arrive at point cloud component values.

  • Nearest Neighbor is the fastest but produces the poorest quality.
  • Bilinear provides a reasonable intermediate option.
  • Bicubic is the slowest but produces the best quality.
  • Average 4 and Average 16 have a performance similar to Bilinear and are useful for numeric rasters such as DEMs.

Usage Notes

This transformer accepts multiple input point clouds and rasters. One point cloud is output for each input point cloud.

The component value for each point is taken from the first raster that can supply one (for example, if a point does not overlap a raster, the next raster will be tried), so the order of input for rasters can impact the result.

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.

Transformer Categories

Point Clouds

Rasters

FME Licensing Level

FME Professional edition and above

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Tags Keywords: point "point cloud" cloud PointCloud coerce LiDAR sonar expose extract extents orthophotos PointCloudOnRasterValueExtractor