+2I have a point cloud with a certain class. This class will be scattered and in clusters within the point cloud, and I want to a) identify these clusters and b) create a point feature layer for the lowest point within these clusters and get the height.
Is this possible with FME?
Best answer by nielsgerrits
It depends what kind of clusters, but if these clusters are not overlapping in XY, one way to identify these is to use a HullReplacer. The pointcloud need to be coerced to a single multipoint first using a PointCloudToPointCoercer, else the HullReplacer will not work.
Then use the PointCloudStatisticsCalculator to find the lowest z and a PointCloudFilter to find the points with this z.
Attached sample workspace demonstrating this.
+53It depends what kind of clusters, but if these clusters are not overlapping in XY, one way to identify these is to use a HullReplacer. The pointcloud need to be coerced to a single multipoint first using a PointCloudToPointCoercer, else the HullReplacer will not work.
Then use the PointCloudStatisticsCalculator to find the lowest z and a PointCloudFilter to find the points with this z.
Attached sample workspace demonstrating this.
+2It works great except for places where the clusters are intersecting at y (as you maybe mentioned).
So the clusters im interested in are the pink ones, and here i will only get three values which is the lowest one, is there a way to do this and get all values?
+53The classic way to do this is to flip the data over one axis, so you can apply a 2d transformer also from the side. This way you will be able to split the single cluster in 3 seperate clusters. Not easy but doable. Can you share a sample of your data? Just clip a 30 meter buffer and use an offsetter with random kilometers in x,y,z to anonimize it.
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