Multispectral infrared measurements and analysis of terrain and sky backgrounds using novel parameters defined by a regionalized power spectrum model

Emily H. Vandiver; James A. Dawson; Wanda K. Fluhler; Eric J. Borg; Kimberly A. Eubank

doi:10.1117/12.151056

13 August 1993 Multispectral infrared measurements and analysis of terrain and sky backgrounds using novel parameters defined by a regionalized power spectrum model

Emily H. Vandiver, James A. Dawson, Wanda K. Fluhler, Eric J. Borg, Kimberly A. Eubank

Author Affiliations +

Proceedings Volume 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III; (1993) https://doi.org/10.1117/12.151056
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

This paper proposes a methodology for parameterizing measured backgrounds using the magnitude and directionality of thermal fluctuations in a measured image. The proposed technique treats the background as a well behaved 2D random process with a regionalized power spectral density (PSD) defined by three parameters. A general framework for applying this PSD model to predict IIR sensor performance under the measured background conditions is presented. The framework uses the standard-deviation of the background in the vicinity of the target, which can be related to the PSD parameters depending on the target size. The background parameterization methodology was applied to a database of background images recorded as part of the TACAWS technology demonstration held in July 1992 at Redstone Arsenal, Alabama. The measurements were made in the 3-5 micrometers and 8-12 micrometers spectral bands using two imaging radiometers. Specific analysis of the parameterized background data is shown addressing the diurnal, spectral, and elevation-angle variations of the clutter parameters.

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Emily H. Vandiver, James A. Dawson, Wanda K. Fluhler, Eric J. Borg, and Kimberly A. Eubank "Multispectral infrared measurements and analysis of terrain and sky backgrounds using novel parameters defined by a regionalized power spectrum model", Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993); https://doi.org/10.1117/12.151056

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KEYWORDS

Sensors

Performance modeling

Databases

Black bodies

Image processing

Temperature metrology

Chlorine

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