Pointcloud Optimization Pipeline

The Pointcloud Optimization pipeline is designed for processing LAZ/LAS files. This pipeline takes in an input LAS/LAZ, performs classification routines (noise and ground), and then generates deliverables, such as surfaces and raster products. This pipeline can also calibrate point clouds, using either sensor calibration and/or trajectory optimization ("strip alignment") routines if an input trajectory is provided.

Pointcloud Optimization Pipeline

Navigate to the pipelines tab of LiDARMill and select a Pointcloud Processing pipeline:

First, you will need to specify the Sensor Model:

You should specify an IMU orientation. If you do not know the IMU orientation, you can leave the values set to 0, as shown below.:

Flightlines can be defined similarly to the SpatialFuser workflow:

Define what optimization you would like to perform. Refer to the SpatialFuser documentation for a description of optimization parameters.

Specify an output coordinate system:

Lastly, specify the output products to generate:

Note that LiDARMill will always generate project and processing reports, which contains metrics on accuracy and other processing results.