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Pointcloud and Joint spatially

  • June 17, 2019
  • 4 replies
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arthy
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  • arthyContributor
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  • 101 replies

Hello,

I would like to merge pointcloud data spatially.

To do that, I create polygons representing the hull of point cloud data using the following steps:

  • coerce point cloud data to individiual points,
  • Bufferer every individiual point
  • Dissolve the buffers that overlaps/intersects
  • Create a polygon using hull replacer

How can I perform such operation without using a pointcloudCoercer because it is too much time consuming.

 

Any idea on how to improve this part of my workbench?

Thanks

Best answer by takashi

I don't think there is so efficient way, but a better way at least than the PointCloudCoercer is:

  1. NumericRasterizer (Size Specification: CellSize): Transform the point cloud to a numeric raster, filling background with Nodata.
  2. RasterExtentsCoercer (Extents Type: Data Extents): Transform the data existing areas of the raster to a multiarea.
  3. Deaggregator: Decompose the multiarea into individual polygons.
  4. Clipper: Clip the original point cloud by the polygons (i.e. separate the point cloud into groups).
  5. HullReplacer: Transform the clipped point clouds to hull polygons.
  6. Bufferer: Make buffers from the polygons if necessary.

 

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4 replies

arthy
Contributor
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  • arthyContributor
  • Author
  • Contributor
  • 101 replies
  • June 17, 2019

From this,

 

 

I would like to be able to obtain

 

 

@takashi and others, any ideas?

takashi
Celebrity
  • takashiCelebrity
  • 7843 replies
  • June 18, 2019

From this,

 

 

I would like to be able to obtain

 

 

@takashi and others, any ideas?

Is the source dataset is a single point cloud and do you need to separate the points within the point cloud into some groups according spatial proximity?

Why not inspect features with Visual/Data Preview and Feature/Record Information before writing them into a destination dataset?
arthy
Contributor
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  • arthyContributor
  • Author
  • Contributor
  • 101 replies
  • June 18, 2019

Is the source dataset is a single point cloud and do you need to separate the points within the point cloud into some groups according spatial proximity?

Correct @takashi. The data source is a single point cloud.

takashi
Celebrity
  • takashiCelebrity
  • 7843 replies
  • Best Answer
  • June 18, 2019

I don't think there is so efficient way, but a better way at least than the PointCloudCoercer is:

  1. NumericRasterizer (Size Specification: CellSize): Transform the point cloud to a numeric raster, filling background with Nodata.
  2. RasterExtentsCoercer (Extents Type: Data Extents): Transform the data existing areas of the raster to a multiarea.
  3. Deaggregator: Decompose the multiarea into individual polygons.
  4. Clipper: Clip the original point cloud by the polygons (i.e. separate the point cloud into groups).
  5. HullReplacer: Transform the clipped point clouds to hull polygons.
  6. Bufferer: Make buffers from the polygons if necessary.

 

Why not inspect features with Visual/Data Preview and Feature/Record Information before writing them into a destination dataset?

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