Radiometrically accurate scene-based nonuniformity correction for array sensors

Bradley M. Ratliff, Majeed M. Hayat, J. Scott Tyo

Research output: Contribution to journalArticle

63 Scopus citations

Abstract

A novel radiometrically accurate scene-based nonuniformity correction (NUC) algorithm is described. The technique combines absolute calibration with a recently reported algebraic scene-based NUC algorithm. The technique is based on the following principle: First, detectors that are along the perimeter of the focal-plane array are absolutely calibrated; then the calibration is transported to the remaining uncalibrated interior detectors through the application of the algebraic scene-based algorithm, which utilizes pairs of image frames exhibiting arbitrary global motion. The key advantage of this technique is that it can obtain radiometric accuracy during NUC without disrupting camera operation. Accurate estimates of the bias nonuniformity can be achieved with relatively few frames, which can be fewer than ten frame pairs. Advantages of this technique are discussed, and a thorough performance analysis is presented with use of simulated and real infrared imagery.

Original languageEnglish (US)
Pages (from-to)1890-1899
Number of pages10
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume20
Issue number10
DOIs
StatePublished - Oct 2003

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Radiometrically accurate scene-based nonuniformity correction for array sensors'. Together they form a unique fingerprint.

  • Cite this