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Proceedings Paper

Use of spectral anomaly signature feature to improve ROC performance
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Paper 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.

Paper Details

Date Published: 15 September 2005
PDF: 8 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591306 (15 September 2005); doi: 10.1117/12.609975
Show Author Affiliations
H. A. Quevedo, Raytheon Co. (United States)
P. F. Singer, Raytheon Co. (United States)


Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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