Distribution-based background and threshold estimations for small target detection in an infrared imaging system

Charles Phillip Lewis

doi:10.1117/12.154727

31 August 1993 Distribution-based background and threshold estimations for small target detection in an infrared imaging system

Charles Phillip Lewis

Author Affiliations +

Proceedings Volume 1969, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing IV; (1993) https://doi.org/10.1117/12.154727
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

This paper presents a method for generating quick and accurate background level estimations with corresponding threshold level estimations from a distribution profile of time delay integration (TDI) scanning focal plane array (FPA) detector values. The resulting background and threshold parameters are used to separate target signal contribution from background and noise contributions. This method was developed for use in a real-time multiprocessor based infrared (IR) imaging and signal processing system. The algorithms developed for the system have been designed and tested for detection of small targets. This process for estimating background and threshold parameters is explained along with discussions of performance evaluations and limitations.

Citation Download Citation

Charles Phillip Lewis "Distribution-based background and threshold estimations for small target detection in an infrared imaging system", Proc. SPIE 1969, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing IV, (31 August 1993); https://doi.org/10.1117/12.154727

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