Point Classification

Baker's latest article for LiDAR News was published last week.  The article, Mobile LiDAR Point Classification, discusses the advantages to classifying features of similar type into groups. The grouping of features into classes provides the ability to isolate, remove or exploit smaller sets of information.  Due to the extensive detail and volume of data provided by Mobile LiDAR, point classification is incredibly useful for downstream applications.

The image above, presented in the article, shows classified features in an urban environment.  Street signs, vegetation, buildings, roads and other information are isolated into user defined classes.

Extents of tree canopies, outlines of building footprints, curbing and overhead wires are clearly depicted in the image above.  Ground points have been removed for clarity.

An elevation of a parking garage with DTM surface shows the undulating terrain.

If you have a recommendation for a future article, please leave a comment. 

Cheers,

Stephen

Thank you to William for helping with content and images for this and past articles.  And, as always, thanks to Aaron for continued support, proofing and guidance.