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Optical Engineering

Static scene statistical algorithm for nonuniformity correction in focal-plane arrays
Author(s): Adrian M. Catarius; Michael D. Seal
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Paper 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.

Paper Details

Date Published: 20 October 2015
PDF: 6 pages
Opt. Eng. 54(10) 104111 doi: 10.1117/1.OE.54.10.104111
Published in: Optical Engineering Volume 54, Issue 10
Show Author Affiliations
Adrian M. Catarius, Air Force Institute of Technology (United States)
Michael D. Seal, Air Force Institute of Technology (United States)

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