Synthetic Natural Environment (SNE) Development & Interoperability

"Prompted by the needs of joint training, mission planning, and C2 systemsinteroperability evaluation, the modeling and simulation community realized thatthe efficient use of simulation requires rapid generation of Synthetic NaturalEnvironment (SNE) data. It has been further recognized that the syntheticrepresentation for modeling and simulation facilitates three critical needs of thebattle staff/decision makers by providing: (1) a common view of the battlespace,(2) real-time support for collaborative action planning, and (3) distributed missiontraining/planning (DMTP). Trident proposes an advanced Environmental Ground TruthGenerator/Certifier methodology and associated reference tool infrastructure thatwould facilitate: (1) semi-automated terrain database generation and integration(with inter-source and intra-source correlation) and (2) advanced checking andverification of both the SNE terrain data as well as associated ground truth SNEHLA models that effect generated SNE data. The internal dynamics models in thegeneration and certification process is congruent with the SNE Conceptual ReferenceModel developed by STRICOM. The proposed terrain data generator method usescategory-partition based testing for terrain database generation and deploys theDARPA XML Agent Markup Language (DAML) and ontology inference layer (OIL) to capturethe meta-data to facilitate compositional consistency (inter/intra-correlation)analysis of generated an