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5 January 2004 Detecting low-contrast moving point targets
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Abstract
The Tanner Research Wave Process is a moving point target detection algorithm that uses the spatio-temporal correlation of points from a target trajectory to build a large aggregate response, thereby increasing the probability of detection for dim and low-contrast point targets moving amidst dense background and noise. The Wave Process is naturally represented as a 2-D array of linear passive analog components, with each node directly stimulated by its focal plane detector. The Wave Process can be implemented in compact, low-power hardware: analog VLSI for near-focal-plane integration, and dedicated digital for near-term applications, both with a fine-grain parallel architecture that can accommodate fast-frame-rate sensors. The Wave Process generates a real-time Region of Interest to window focal planes, reducing the data rate and sensor processing throughput requirements, thereby also reducing the overall sensor processor power, weight, and size requirements.
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Thomas J. Bartolac and Paul L. McCarley "Detecting low-contrast moving point targets", Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); https://doi.org/10.1117/12.506423
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