PCI Geomatics has released Service Pack 1 (SP1) for the company’s Geomatica Banff UAV (unmanned aerial vehicle) and aerial imagery analysis software. The update features a new workflow for UAVs with camera self-calibration and 2-pass point collection, allowing users to work with data without a calibration report and generate accurate results quickly. A new Random Forest object classification algorithm also provides users with a state-of-the-art advanced machine learning capability.
The new release also provides a wide variety of new and updated features and functions, including:
- Full support for Red Hat’s CENTOS 8 Linux operating system distribution
- New function that samples raw imagery to compensate for distortions in aerial photos, reducing the effects of distortion caused by camera lens, atmospheric refraction, earth curvature or other unpredictable errors
- New mirroring function along the vertical or horizontal axes for airborne radar or multispectral data, maintaining the location of GCPs
Supervised Random Trees (RT) classification algorithm based on user-specified RT training model
- Improved support for uncalibrated data in Spectra Reflectance Plots, including the update of target metadata using underlying reflectance datasets for comparison
- DEM Extraction now includes DSM merge colour balancing methodology for digital/UAV aerial projects
To view the full list of updates provided by Geomatica Banff Service Pack 1, view the release notes on PCI Geomatics’ website.