Abstract

The development of staring infrared focal plane arrays has forced potential users to consider the effect of spatial noise on the performance of infrared sensors. We varied the amount of spatial noise present in infrared imagery and measured its effect on the value of the minimum resolvable temperature (MRT). A mathematical model for including the effects of spatial noise on image quality is presented and compared to experimental data. The effect of both the spatial and temporal power spectral density on the MRT is discussed. Excess low-frequency noise in the temporal domain is shown to be a source of spatial noise.

© 1991 Optical Society of America

Sensor performance conversions for infrared target acquisition and intelligence–surveillance–reconnaissance imaging sensors

Ronald G. Driggers, Mel Kruer, Dean Scribner, Penny Warren, and Jon Leachtenauer
Appl. Opt. 38(28) 5936-5943 (1999)

Equation-based triangle orientation discrimination sensor performance model based on sampling effects

Xiao-rui Wang, Jian-qi Zhang, Zhuo-xiang Feng, and Hong-hua Chang
Appl. Opt. 44(4) 498-505 (2005)

Modeling and estimation of signal-dependent noise in hyperspectral imagery

Joseph Meola, Michael T. Eismann, Randolph L. Moses, and Joshua N. Ash
Appl. Opt. 50(21) 3829-3846 (2011)

Scene-based nonuniformity correction technique that exploits knowledge of the focal-plane array readout architecture

Balaji Narayanan, Russell C. Hardie, and Robert A. Muse
Appl. Opt. 44(17) 3482-3491 (2005)

Noise-cancellation-based nonuniformity correction algorithm for infrared focal-plane arrays

Sebastián E. Godoy, Jorge E. Pezoa, and Sergio N. Torres
Appl. Opt. 47(29) 5394-5399 (2008)