Version 1 (modified by mark1, 12 years ago) (diff)


Post Processing LiDAR Point Clouds

The usual form of delivery of the processed LiDAR data is in the form of a point cloud. This takes one of two forms; [link ASCII text files] or binary LAS files. As part of the standard processing and quality checking of the LiDAR point clouds, ARSF-DAN classify 'noisy' points. This is done both by using automatic algorithms and by viewing the data. The noisy points can be one of the following:

  • isolated points
  • isolated clusters of points
  • water induced noise
  • cloud noise
  • system noise

It is advised that these points be removed before using the data, unless they are of specific use to your studies.

Removing Noise Points

When a point has been identified as being 'noise' it is given a classification value of '7'.

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