Adjust point clouds to your needs by filtering, clipping, scaling, rotating or even splitting LiDAR data. Using FME transformers, like the PointCloudThinner, the final point cloud file that is written may be reduced in size by removing points in a designated and methodical way.
Use the FME Data Inspector to query point cloud data sets to see information on levels of intensity or number of returns. In FME Workbench, transformers like the PointCloudStatisticsCalculator can be used to isolate and analyze relevant data quickly and easily. You can also add your own attributes to the data set with additional transformers or add orthophoto colouring directly to the LiDAR data set.
Webinar: How to Get the Most Out of LiDAR Data
With FME, Delaunay triangulation can be constructed to create models like DEMs or TINs. Give these models further meaning by draping the point cloud based models with additional raster data.
Tutorial: Point Clouds and Surface Modelling
The LAS file format was developed as an open interchange standard for proprietary LiDAR and point cloud data formats to facilitate sharing between users of different systems.