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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 39, Iss. 26 — Sep. 10, 2000
  • pp: 4826–4828

General Image-Quality Equation for Infrared Imagery

Jon C. Leachtenauer, William Malila, John Irvine, Linda Colburn, and Nanette Salvaggio  »View Author Affiliations


Applied Optics, Vol. 39, Issue 26, pp. 4826-4828 (2000)
http://dx.doi.org/10.1364/AO.39.004826


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Abstract

The regression-based general image-quality equation (GIQE) previously developed for visible imagery was extended to IR imagery. The equation predicts IR National Imagery Interpretability Rating Scale values as a function of scale, sharpness, and signal-to-noise ratio with the same form as the visible GIQE.

© 2000 Optical Society of America

OCIS Codes
(110.2960) Imaging systems : Image analysis
(110.3000) Imaging systems : Image quality assessment
(120.4800) Instrumentation, measurement, and metrology : Optical standards and testing

Citation
Jon C. Leachtenauer, William Malila, John Irvine, Linda Colburn, and Nanette Salvaggio, "General Image-Quality Equation for Infrared Imagery," Appl. Opt. 39, 4826-4828 (2000)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-39-26-4826


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References

  1. J. C. Leachtenauer, W. Malila, J. Irvine, L. Colburn, and N. Salvaggio, “General image-quality equation: GIQE,” Appl. Opt. 36, 8322–8328 (1997).
  2. J. C. Leachtenauer, “National Imagery Interpretability Rating Scales: overview and product description,” in ASPRS/ACSM Annual Convention and Exhibition, Technical Papers, Remote Sensing and Photogrammetry (American Society for Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping, Baltimore, Md., 1996), Vol. 1, pp. 262–271.
  3. J. M. Irvine and J. C. Leachtenauer, “A methodology for developing image interpretability rating scales,” in ASPRS/ACSM Annual Convention and Exhibition, Technical Papers, Remote Sensing and Photogrammetry (American Society for Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping, Baltimore, Md., 1996), Vol. 1, pp. 273–281.
  4. M. T. Eismann and S. D. Engle, “Utility analysis of high-resolution multispectral imagery,” Rep. 253885–2-F (ERIM International, Ann Arbor Mich., 1995), Vol. 3.
  5. A. Berk, L. S. Bernstein, and D. C. Robertson, MODTRAN, A Moderate Resolution Model for LOWTRAN 7, GL-TR-89–0122 (Air Force Geophysics Laboratory, Hanscom Air Force Base, Mass., 1988).

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