Static scene statistical algorithm for nonuniformity correction in focal-plane arrays

Adrian M. Catarius; Michael D. Seal

doi:10.1117/1.OE.54.10.104111

20 October 2015 Static scene statistical algorithm for nonuniformity correction in focal-plane arrays

Adrian M. Catarius, Michael D. Seal

Author Affiliations +

Optical Engineering, Vol. 54, Issue 10, 104111 (October 2015). https://doi.org/10.1117/1.OE.54.10.104111

Abstract

A static scene statistical nonuniformity correction (S³NUC) method was developed based on the higher-order moments of a linear statistical model of a photodetection process. S³NUC relieves the requirement for calibrated targets or a moving scene for NUC by utilizing two data sets of different intensities but requires low scene intensity levels. The first-, second-, and third-order moments of the two data sets are used to estimate the gain and bias values for the detectors in a focal-plane array (FPA). These gain and bias values may then be used to correct the nonuniformities between detectors or to initialize other continuous calibration methods. S³NUC was successfully applied to simulated data as well as measured data at visible wavelengths.

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Adrian M. Catarius and Michael D. Seal "Static scene statistical algorithm for nonuniformity correction in focal-plane arrays," Optical Engineering 54(10), 104111 (20 October 2015). https://doi.org/10.1117/1.OE.54.10.104111

Published: 20 October 2015

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