1 March 1996 Correlation length used as a predictor of fundamental scale lengths for image characterization
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Optical Engineering, 35(3), (1996). doi:10.1117/1.600648
Abstract
The extraction of spatial information, specifically the length scale, from imagery of background scenes can be indirectly made using an estimation of the correlation length. However, sampling frequency and the record size of the data affect the precision of the resultant estimation. The resolving power of the correlation length as a function of the image scale is examined in detail. Several models designed to estimate image length scale s from computed correlation length xL are studied. The relative accuracy of the model, as well as the performance of different integration strategies for computing xL are examined. It is found that s -dependent integration schemes are superior, although their use necessitates a more involved ‘‘fixed point’’ procedure to estimate s.
John W. Hilgers, William R. Reynolds, James R. McManamey, David Strang, "Correlation length used as a predictor of fundamental scale lengths for image characterization," Optical Engineering 35(3), (1 March 1996). http://dx.doi.org/10.1117/1.600648
JOURNAL ARTICLE
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KEYWORDS
Data modeling

Performance modeling

Optical engineering

Image processing

Clouds

Spectral resolution

Statistical modeling

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