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Outputs point cloud features that have fewer points than the original input features. This transformer is typically used to reduce data volume by identifying a set of points to keep and discarding the remaining points.

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pointcloudthinner - FME Community

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Thinning and Combining Point Clouds - FME Community

This video demonstrates the PointCloudCombiner and PointCloudThinner transformers available in FME. Combining and thinning are common functions for processing LiDAR data.

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