The authors show that the modified beta distribution function is an adequate model for the underlying distribution function of the random variable used to model synthetic-aperture radar (SAR) image data. The model represents a range of SAR returns from different sea ice types by using a simple change in its parameter. The ability is explained by describing the distribution functions in, width. modified skewness space where the modified beta function covers a region while the other, more common, distribution functions cover only a curve. A procedure for comparing simple distribution functions with analytical functions specifically for digitized SAR data is presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Maffett et al. (1991) studied this question.
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