Higher Order Moments Generation by Mellin Transform for Compound Models of Clutter

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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4pages, 1 figure

Scientific paper

The compound models of clutter statistics are found suitable to describe the
nonstationary nature of radar backscattering from high-resolution observations.
In this letter, we show that the properties of Mellin transform can be utilized
to generate higher order moments of simple and compound models of clutter
statistics in a compact manner.

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