RIEGL has unveiled the latest iteration of its kinematic LiDAR data processing software, riprocess, which now features an innovative automated trajectory processing capability.
This update integrates Applanix’s posbatch within the processing wizard, allowing users to configure all trajectory processing parameters directly in a posbatch file within the RiPROCESS framework. This parameter file can be saved for future use, significantly reducing the need for manual adjustments when processing data from the same LiDAR system multiple times. Thanks to the scripting functionalities of the RiPROCESS Data Processing Wizard, trajectory processing can seamlessly fit into automated workflows.
Enhanced Bathymetric capabilities
The RIEGL HydroTools suite has been entirely overhauled, resulting in a more robust integration with RiPROCESS than ever before. The performance enhancements include refined processing of refraction corrections in intricate mixed water and terrain environments.
Along with the existing sequential waveform averaging technique, a new spatial waveform stacking method has been introduced. this method enhances the signal-to-noise ratio by averaging waveforms, thereby improving the detectability of ground returns. The spatial waveform stacking method considers a localized selection of waveforms,providing a more accurate representation of the target environment.
Improved Data Storage Solutions
The central data format of RiPROCESS, RDB, has been upgraded to include named values for point classes. Previously, the definitions of point classes beyond the standard ASPRS LAS specification were largely undocumented. To remedy this, RIEGL has incorporated a complete list of class codes and names within the RDB point cloud file generated by RiPROCESS, facilitating easier access for third-party applications.
Flexible Data Export Options
This version introduces a highly versatile Data Export Wizard tailored for kinematic point cloud data. Users can export data to any coordinate reference system supported by the GeoSysManager database. The software accommodates LAS/LAZ versions 1.2 and 1.4, plain text ASCII, and RDB formats. Notable features include customizable export destinations and file naming conventions, simplifying the creation of datasets that meet external folder requirements.
A new tiling feature enables users to generate data tiles based on numeric parameters or predefined boundaries from SHP files. Additionally, an enhanced data filter allows for the creation of personalized filter rule sets based on any available point attribute, ensuring the point cloud content aligns with specific customer needs.
