RIEGL uses FME to process LiDAR data to leverage the depth of knowledge made available by the waveform data available in point cloud datasets, beyond xyz information.
FME Desktop workflows read RIEGL Database (RDB) data, including waveform attributes. This detail is available for post-processing, such as filtering point clouds by pulse shape deviation, removing points that fall within a certain threshold of an attribute, or removing unwanted echoes. For example, one workflow RIEGL has created for a forestry application performs surface extraction, normalizes the heights of the dataset, calculates mean tree heights and point cloud statistics, and outputs 3D tiles in a shapefile.
FME makes it possible to make use of waveform data and integrate these attributes into processing projects and daily work.
With more than 30 years experience in the research, development and production of laser rangefinders, distancemeters and scanners RIEGL delivers proven innovations in 3D.