Scaling Maps With Correlator3d Distributed Processing

In place of a lone workstation, teams can now, using SimActive’s Correlator3D, run a shared workflow on a pool of PCs through parallel execution. This approach removes reliance on one box by coordinating a group of systems.

Throughput, Consistency, and Accuracy in Production

With shared compute loads, the pipeline can handle even larger datasets more quickly and use resources better. Across critical stages—airborne block adjustment, building dense 3D points, and orthomosaic creation—this parallelism preserves cartographic quality for photogrammetry. Teams see results arrive quickly while maintaining consistent accuracy suitable for production.

Support for Large Projects Across PCs

As resolution climbs or coverage expands, timelines stay predictable because capacity can be scaled by plugging in more computers on the network. This feature is well suited to high-volume data, time-critical missions, and demanding field operations common in drone and imagery programs.

For more details about the platform, official documentation and resources from the maker, SimActive, on Correlator3D explain how VMs fit alongside physical workstations.