Paper
11 November 1991 Universal multifractal theory and observations of land and ocean surfaces, and of clouds
Daniel Lavallee, Shaun Lovejoy, Daniel Schertzer
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Abstract
The extreme variability of geophysical fields can be characterized by scale invariant (sensor resolution independent) 'codimension' functions, which are exponents characterizing the probability distribution. These codimension functions form a three parameter universality class. The parameter H measures the degree of nonstationarity of the process, C1 characterizes the sparseness/inhomogeneity of the mean of the process, (alpha) characterizes the degree of multifractality; (alpha) equals 0 is monofractal, (alpha) equals 2 is the maximum. We review the properties of these multifractal processes and describe the 'double trace moment' technique that is the first data analysis technique specifically designed to estimate these parameters. The technique is then applied to digital elevation maps of Deadman's Butte, to the topography of France, to a pair of aircraft photos of the ocean surface, and to a visible satellite image of a cloud field.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Lavallee, Shaun Lovejoy, and Daniel Schertzer "Universal multifractal theory and observations of land and ocean surfaces, and of clouds", Proc. SPIE 1558, Wave Propagation and Scattering in Varied Media II, (11 November 1991); https://doi.org/10.1117/12.49613
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Cited by 3 scholarly publications.
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KEYWORDS
Fractal analysis

Scattering

Wave propagation

Clouds

Statistical analysis

Stochastic processes

Satellites

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