Mr. David Yonovitz Profile

David Yonovitz

Chief Technical Officer at Complex Data Systems

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Proceedings Article | 7 May 2007 Paper

Tunable wavelet target extraction preprocessor

D. Yonovitz

Proceedings Volume 6569, 65690A (2007) https://doi.org/10.1117/12.718584

KEYWORDS: Video, Image processing, Wavelets, Wavelet transforms, Video processing, Signal to noise ratio, Sensors, Target acquisition, Detection and tracking algorithms, Target designation

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The key measurements of Pointing/Tracking system performance are the abilities to responsively acquire intended targets and to maintain low track error (the error associated with stabilizing the target in the image scene). Typically good target acquisition and track performance is readily attainable under "nominal" conditions, i.e. targets of high Signal to Noise Ratio (SNR), or targets that have easily discernable relative motion with respect to other possible targets or clutter. It is in the absence of these favorable conditions that a track preprocessor is highly advantageous, and possibly necessary, to meet performance requirements. Typical scenarios involve a relatively small, stationary or slow moving, distant target within a field of view with a considerable amount of background clutter. To this end, the main thrust of the Tunable Wavelet Target Extraction Preprocessor (TWTEP) is the ability to discern targets from within complex clutter. With this capability, the TWTEP then "extracts" the target, of arbitrary shape and size, and presents only a resultant image composed of solely a high SNR target to a track process. The result: A track process that provides an enhanced capability to accommodate both nominal and stressful pointing/tracking scenarios.

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