Temporal filtering for point target detection in staring IR imagery: II. Recursive variance filter

Jerry Silverman; Charlene E. Caefer; Steven DiSalvo; Virgil E. Vickers

doi:10.1117/12.324648

3 September 1998 Temporal filtering for point target detection in staring IR imagery: II. Recursive variance filter

Jerry Silverman, Charlene E. Caefer, Steven DiSalvo, Virgil E. Vickers

Proceedings Volume 3373, Signal and Data Processing of Small Targets 1998; (1998) https://doi.org/10.1117/12.324648
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Jerry Silverman, Charlene E. Caefer, Steven DiSalvo, and Virgil E. Vickers "Temporal filtering for point target detection in staring IR imagery: II. Recursive variance filter", Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); https://doi.org/10.1117/12.324648

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