Development of high resolution statistically nonstationary infrared earthlimb radiance scenes

Lisa A. Strugala; Jerry E. Newt; Walter I. Futterman; Eric L. Schweitzer; Bruce J. Herman; Robert D. Sears

doi:10.1117/12.45760

1 July 1991 Development of high-resolution statistically nonstationary infrared earthlimb radiance scenes

Lisa A. Strugala, Jerry E. Newt, Walter I. Futterman, Eric L. Schweitzer, Bruce J. Herman, Robert D. Sears

Proceedings Volume 1486, Characterization, Propagation, and Simulation of Sources and Backgrounds; (1991) https://doi.org/10.1117/12.45760
Event: Orlando '91, 1991, Orlando, FL, United States

Abstract

This paper describes the development of a 3-D statistically non-stationary earthlimb stochastic structure representation and its application to the implementation of earthlimb infrared (IR) structured scenes. The stochastic structure overlay is constructed from a 2-D diagonal cut through a 3-D matrix of correlated Gaussian deviates: each plane of the matrix represents a statistically constant representation of the two-dimensional correlation lengths at a given altitude above the earth. Each matrix plane is generated by using successive 2-D FFT routines that have empirical values of vertical and horizontal correlation lengths as input. The total deviate variance versus altitude is then scaled from empirical measurements of fluctuations in atmospheric density, temperature, and/or emissivity. Scene correlation lengths are validated by performing diagnostics on the overlays. These structures generators have been used both as perturbations on input atmospheric data to earthlimb IR radiance codes and as high resolution overlays to earthlimb IR mean radiance 2-D scenes. Examples of modeling results are presented and discussed.

Citation Download Citation

Lisa A. Strugala, Jerry E. Newt, Walter I. Futterman, Eric L. Schweitzer, Bruce J. Herman, and Robert D. Sears "Development of high-resolution statistically nonstationary infrared earthlimb radiance scenes", Proc. SPIE 1486, Characterization, Propagation, and Simulation of Sources and Backgrounds, (1 July 1991); https://doi.org/10.1117/12.45760

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KEYWORDS

Atmospheric modeling

Earth's atmosphere

3D modeling

Infrared radiation

Data modeling

Sensors

Atmospheric propagation

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