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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 46, Iss. 30 — Oct. 20, 2007
  • pp: 7345–7353

Midwave infrared and visible sensor performance modeling: small craft identification discrimination criteria for maritime security

Keith Krapels, Ronald G. Driggers, Dawne Deaver, Steven K. Moker, and John Palmer  »View Author Affiliations

Applied Optics, Vol. 46, Issue 30, pp. 7345-7353 (2007)

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The new emphasis on Anti-Terrorism and Force Protection (AT∕FP), for both shore and sea platform protection, has resulted in a need for infrared imager design and evaluation tools that demonstrate field performance against U.S. Navy AT∕FP requirements. In the design of infrared imaging systems for target acquisition, a discrimination criterion is required for successful sensor realization. It characterizes the difficulty of the task being performed by the observer and varies for different target sets. This criterion is used in both assessment of existing infrared sensor and in the design of new conceptual sensors. We collected 12 small craft signatures (military and civilian) in the visible band during the day and the long-wave and midwave infrared spectra in both the day and the night environments. These signatures wereprocessed to determine the targets' characteristic dimension and contrast. They were alsoprocessed to band limit the signature's spatial information content (simulating longer range), and a perception experiment was performed to determine the task difficulty ( N 50 and V 50 ). The results are presented and can be used for Navy and Coast Guard imaging infrared sensor design and evaluation.

© 2007 Optical Society of America

OCIS Codes
(110.3080) Imaging systems : Infrared imaging
(110.4100) Imaging systems : Modulation transfer function
(110.6820) Imaging systems : Thermal imaging

ToC Category:
Imaging Systems

Original Manuscript: October 11, 2006
Manuscript Accepted: June 24, 2007
Published: October 10, 2007

Keith Krapels, Ronald G. Driggers, Dawne Deaver, Steven K. Moyer, and John Palmer, "Midwave infrared and visible sensor performance modeling: small craft identification discrimination criteria for maritime security," Appl. Opt. 46, 7345-7353 (2007)

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  1. S. Moyer, J. G. Hixson, T. C. Edwards, and K. Krapels, "Probability of identification of small hand-held objects for electro-optic forward-looking infrared systems," Opt. Eng. 45, 063201 (2006). [CrossRef]
  2. K. Krapels, R. Driggers, B. Teaney, and C. Halford, "Handheld threat object identification of 2-D visible imagery versus 3-D visible imagery," Opt. Eng. 45, 063202 (2006). [CrossRef]
  3. S. K. Moyer, E. Flug, T. C. Edwards, K. A. Krapels, and J. Scarbrough, "Identification of handheld objects for electro-optic/FLIR applications," Proc. SPIE 5407, 116-126 (2004). [CrossRef]
  4. S. Moyer and N. Devitt, "Resolvable cycle criteria for identifying personnel based on clothing and armament variations," Proc. SPIE 5784, 60-71 (2005). [CrossRef]
  5. N. Devitt, J. G. Hixson, S. Moyer, and E. Flug, "Urban vehicle cycle criteria for identification," Proc. SPIE 5784, 48-59 (2005). [CrossRef]
  6. R. H. Vollmerhausen, E. L. Jacobs, and R. G. Driggers, "New metric for predicting target acquisition performance," Opt. Eng. 43, 2806-2818 (2004). [CrossRef]
  7. R. H. Vollmerhausen, R. G. Driggers, and M. Tomkinson, "Improved image quality metric for predicting tactical vehicle identification," Proc. SPIE 4030, 60-69 (2000). [CrossRef]
  8. J. A. Ratches, R. H. Vollmerhausen, and R. G. Driggers, "Target acquisition performance modeling of infrared imaging systems: past, present, and future," IEEE Sens. J. 1, 31-40 (2001). [CrossRef]

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