Measured and simulated power spectral density and temporal coherence of infrared cirrus and stratus cloud images

Morton S. Farber; Jerry Alan Tessendorf; Albert Soong

doi:10.1117/12.151077

13 August 1993 Measured and simulated power spectral density and temporal coherence of infrared cirrus and stratus cloud images

Morton S. Farber, Jerry Alan Tessendorf, Albert Soong

Author Affiliations +

Proceedings Volume 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III; (1993) https://doi.org/10.1117/12.151077
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Sets of image data from the MUSIC (Multi Spectral Infrared Camera) have been analyzed to obtain the spatial and temporal structure of cirrus and stratus cloud scenes at small spatial and temporal scales. The MUSIC data were collected in 1989 in a side-looking airborne geometry. The large clutter to noise ratios found in this analysis for both cirrus and stratus clouds represent a potentially large noise source for IRST. The power-law roll-off and anisotropy of the power spectral density of images is compared to the output of a 3-D cloud scene simulator and found to be in reasonable agreement; and in very poor agreement with simpler notions which invoke perspective distortion of two-dimensional clouds and predict much large anisotropy. The log of the time-lagged coherence of a registered sequence of images depends on the square of the spatial frequency and the square of the time lag. This is in agreement with a passive advection model of the cloud evolution, which successfully predicts the change in coherence behavior between smaller and large time lags relative to the advection integral time.

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Morton S. Farber, Jerry Alan Tessendorf, and Albert Soong "Measured and simulated power spectral density and temporal coherence of infrared cirrus and stratus cloud images", Proc. SPIE 1967, Characterization, Propagation, and Simulation of Sources and Backgrounds III, (13 August 1993); https://doi.org/10.1117/12.151077

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KEYWORDS

Clouds

Sensors

3D modeling

Data modeling

Temporal coherence

Anisotropy

Spatial frequencies

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