PAR's GvLF technology enables users to quickly retrieve large datasets and perform analysis soley on a selected area of interest, while eliminating time-consuming manipulation of unnecessary information.
Drawing on a decade of LiDAR research and processing expertise, GvLF offers the following list of capabilities:
Query for collections by name, date, geographic footprint, classification value, or other attribute.
Export and transfer point clouds using only desired attributes thereby saving storage, media, bandwidth, and time
Generate new point clouds from the intersection and/or union of existing data
Scale data based on collection resolution and precision
Lossless data compression reduces storage from 4:1 to 50:1
Leverage dramatic increases in compression using visually lossless mode
In addition to compressing data, a database indexing structure has been implemented to support query and retrieval of a variety of LiDAR data subsets from a single unified SQL database. Testing has revealed that a compressed database storage structure lends itself well as an aggregator of all a user’s LiDAR collections into a single repository.