Phoenix LiDAR Systems has introduced its LiDAR Mill platform, a cloud-based, fully automated LiDAR post-processing tool.
Historically, according to the company, the large quantities of raw data generated by laser-based mapping systems, including from drones, has often made processing resource-intensive and cost-prohibitive. With LiDAR Mill, users can upload raw mapping data directly to the cloud service and download processed data files in the industry-standard LAS format – in turn, saving costs and time.
“We’re excited to launch LiDAR Mill because it fills that gap in the UAV LiDAR mapping puzzle,” says CEO Grayson Omans. “It makes post-processing faster and affordable so that more organizations can use it.”
The LiDAR Mill platform breaks the post-processing procedure into three automated steps, or “pipelines.” The first, the NavLab Pipeline, is a trajectory module that processes inertial and global navigation satellite system data in forward and reverse several times to achieve greater accuracy. This trajectory is then fused with three-dimensional XYZ LiDAR data to create an unfiltered LAS file, which can be further refined through other processing algorithm pipelines, such as flight line matching and filtering.
The final product is a calibrated and “de-noised” point cloud with basic “ground/non-ground” classification, says Phoenix LiDAR. Users can then download their data for further processing or forward it to customers as a final deliverable.
As LiDAR technology becomes increasingly affordable, organizations seeking to conduct surveying or mapping operations can further take advantage of customizable solutions within the LiDAR Mill platform, the company says. The NavLab Pipeline, for example, can be used as a stand-alone module just for trajectory processing or as the starting point for additional pipelines, like planimetrics, advanced classification, digital terrain model creation and more.