Whether organizations are tasked with the creation of synthetic 3D maps or environments, decision-making, or mission planning, they will soon be forced to rethink how they operate.
Demands for higher quality and improved correlated data are now commonplace. Moreover, as the amount of geospatial and geolocated intelligence drastically increases, organizations that leverage it are on the brink of being overwhelmed with too much data, too many data types, update demands, and the need to publish to multiple targets and platforms.
By bringing an automated solution to the traditional manually-intensive process of building synthetic environments, organizations will be well positioned to receive, process, fuse, and publish the petabytes of geospatial data they are facing, as well as deal with the challenges of creating realistic and correlated environments.
In this paper, we will describe the characteristics and benefits of a potential solution – VELOCITY – to overcome these geospatial data processing challenges. The solution will need to enable the coexistence of both centralized and decentralized approaches while still converging towards an integrated foundational geospatial system.