Use of spectral anomaly signature feature to improve ROC performance
Hector A. Quevedo, Paul F. Singer · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Track features help reduce the number of false associations during tracking. It is expected that the spectral signature vector from a target would tend to be consistent over short periods of time. Therefore, the spectral signature vector direction is a potential track feature candidate. The target's spectral signature and covariance are measured from the data at the output of the spatial-spectral match filter. The spectral vector feature is not independent from the local signal to clutter plus noise ratio (S(C+N)R), at the output of the anomaly detector which is often also used as a track feature. A correction term is introduced in this paper to account for the correlation between these two features. Results from field data collections using a multi-spectral Infra-Red Search and Track System (IRST) are summarized with ROC curves showing the performance improvements achieved by using the unit spectral vector as a feature for both moving and stationary targets.