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Proceedings Paper

Temporal filtering for point target detection in staring IR imagery: II. Recursive variance filter
Author(s): Jerry Silverman; Charlene E. Caefer; Steven DiSalvo; Virgil E. Vickers
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Paper Abstract

We describe a recursive temporal filter based on a running estimate of the temporal variance followed by removal of the baseline variance of each pixel. The algorithm is designed for detection/tracking of 'point' targets moving at sub- pixel/frame velocities, 0.02 to 0.50 p/f, in noise-dominated scenarios on staring IR camera data. The technique responds to targets of either polarity. A preprocessing technique, morphological in origin but implemented by median filters, further improves the S/N sensitivity of the algorithm while restricting the result to positive contrast targets. The computationally simple algorithm has been implemented in hardware and real-time operation is in evaluation. The performance is characterized by some specific examples as well as plots over our extensive database of real data. Detection down to S/N approximately 3 or less and sensitivity to the appropriate range of velocities is demonstrated.

Paper Details

Date Published: 3 September 1998
PDF: 10 pages
Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); doi: 10.1117/12.324648
Show Author Affiliations
Jerry Silverman, Air Force Research Lab. (United States)
Charlene E. Caefer, Air Force Research Lab. (United States)
Steven DiSalvo, Air Force Research Lab. (United States)
Virgil E. Vickers, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 3373:
Signal and Data Processing of Small Targets 1998
Oliver E. Drummond, Editor(s)

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