Use of spectral anomaly signature feature to improve ROC performance

H. A. Quevedo; P. F. Singer

doi:10.1117/12.609975

Abstract

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.

Citation Download Citation

H. A. Quevedo, H. A. Quevedo, P. F. Singer, P. F. Singer, } "Use of spectral anomaly signature feature to improve ROC performance", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591306 (14 September 2005); doi: 10.1117/12.609975; https://doi.org/10.1117/12.609975

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