Inertial Labs, a pioneer in inertial sensors and systems, is excited to announce the release of the latest PCMasterPro software updates for RESEPI. This update introduces a strip alignment algorithm developed by BayesMap.
We are at InterGeo 2023 in Berlin!
Sharing a booth with LidarSwiss, meet us at booth B1.010 in Hall 1.2
Visit our booth at GeoWeek 2023
February 13-15, 2023 | Denver, CO, USA
Visit booth 424 to see what’s new in StripAlign and WavEx, and what is coming up later this year!
StripAlign 2.21 new outputs, improved input
Tagged option file support (option -opt), allowing data input (LiDAR, PO, and all related parameters). This uses a hierarchical, simplified and flexible XML format with tags and attributes/values replacing existing or new options/arguments. Various combinations of flights can be used:
Muir Woods National Monument Lidar Acquisition
GEO1 won awards in two categories at the 2021 MAPPS Geospatial Excellence awards for their lidar and imagery acquisition of Muir Woods National Monument in Northern California as part of the Earth Archive project.
GeoWeek 2022 Exhibit
GeoWeek | February 6-8 | Colorado Convention Center | Denver, CO, USA.
Visit booth 725 to learn more about our latest innovations in point cloud processing, and to see live demos of StripAlign and WavEx.
StripAlign 2.2 and WavEx 1.3 available!
New major feature updates are available for both software.
GeoCue and BayesMap Announce StripAlign for True View EVO
GeoCue and BayesMap are pleased to announce the release of our new geometric correction software for the True View series of small Unmanned Aerial Systems (sUAS) 3D Imaging Systems (3DISĀ®). StripAlign for EVO (SAfE) is an optional extension to True View EVO and is available now!
BayesMap at ASPRS 2021
Vendor spotlight on Apr 1, and sponsoring the Accuracy assessment session on Mar 29
Corridor mapping alignment
Our strip alignment software is now able to correct the relative geometry of challenging corridor projects while preserving, or even improving the absolute accuracy of the LiDAR point clouds.