TARID-based adaptive nonuniformity correction

Jonathon M. Schuler; J. Grant Howard; Penny R. Warren; Dean A. Scribner

doi:10.1117/12.477442

29 July 2002 TARID-based adaptive nonuniformity correction

Jonathon M. Schuler, J. Grant Howard, Penny R. Warren, Dean A. Scribner

Proceedings Volume 4719, Infrared and Passive Millimeter-wave Imaging Systems: Design, Analysis, Modeling, and Testing; (2002) https://doi.org/10.1117/12.477442
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The performance of any scene-adaptive Nonuniformity Correction (NUC) algorithm is fundamentally limited by the quality of the scene-based predicted value of each pixel. TARID-based composite imagery can serve as a scene-based pixel predictor with improved robustness, and reduced noise than that of more common scene-based pixel predictors. These improved properties result in dramatically faster algorithm convergence, generating corrected imagery with reduced spatial noise due to intrinsic nonuniform or inoperative pixels in a Focal Plane Array.

Citation Download Citation

Jonathon M. Schuler, J. Grant Howard, Penny R. Warren, and Dean A. Scribner "TARID-based adaptive nonuniformity correction", Proc. SPIE 4719, Infrared and Passive Millimeter-wave Imaging Systems: Design, Analysis, Modeling, and Testing, (29 July 2002); https://doi.org/10.1117/12.477442

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