Detecting low-contrast moving point targets

Thomas J. Bartolac; Paul L. McCarley

doi:10.1117/12.506423

5 January 2004 Detecting low-contrast moving point targets

Proceedings Volume 5204, Signal and Data Processing of Small Targets 2003; (2004) https://doi.org/10.1117/12.506423
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

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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