Hyperspectral Imaging Sensor Based Feature Aided Tracking

The primary objective of this effort is to research and develop advanced algorithms suitable for spectral signature extraction and spectral matching to improve full motion video (FMV) multi-target track longevity and purity. Black River Systems Company proposes a systems level approach to improving and evaluating performance using hyperspectral feature-aided association to achieve greater track lifetime and purity in urban and target-dense environments. Building obscuration, atmospheric effects, and target density and confusion are just some of the real life challenges that this system faces. The system and algorithms must address these challenges while being robust enough to handle the ever evolving camouflage, concealment and deception (CC&D) countermeasures. An end-to-end system model will be utilized to illustrate the combined potential benefits of hyperspectral feature extraction and association, FMV feature aided tracking, and sensor resource management (SRM). Upon completion, Black River Systems Company will outline the critical system components and requirements and illustrate notional system performance for long-term dismount and vehicle tracking in urban environments.