Fifty-percent probability of identification (N50) comparison for targets in the visible and infrared spectral bands

John Desomond O'Connor; Ronald G. Driggers; Richard H. Vollmerhausen; Nicole M. Devitt; Jeff Olson

doi:10.1117/1.1607331

1 October 2003 Fifty-percent probability of identification (N₅₀) comparison for targets in the visible and infrared spectral bands

John Desomond O'Connor, Ronald G. Driggers, Richard H. Vollmerhausen, Nicole M. Devitt, Jeff Olson

Author Affiliations +

Optical Engineering, Vol. 42, Issue 10, (October 2003). https://doi.org/10.1117/1.1607331

We describe a comparison of target identification performance between targets in the IR and visible bands. Increasing levels of Gaussian blur are applied to 12 varying viewpoint aspects of 12 targets in both the IR and visible spectra. Results are analyzed as a function of blur level and target size to give identification probability as a function of resolvable cycles on target. Probability curves for the IR and visible results are compared and the 50% probabilities of identification (N₅₀) are estimated for both cases. The results show that there is a significant difference in the target acquisition characteristics in the visible and IR wavebands.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

John Desomond O'Connor, Ronald G. Driggers, Richard H. Vollmerhausen, Nicole M. Devitt, and Jeff Olson "Fifty-percent probability of identification (N₅₀) comparison for targets in the visible and infrared spectral bands," Optical Engineering 42(10), (1 October 2003). https://doi.org/10.1117/1.1607331

Published: 1 October 2003

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE