Image histograms are useful for revealing the relative proportions of
geological components in a scene, but these proportions are commonly
obscured by the variability caused by signal fading (image speckle). This
variability can potentially be reduced by deconvolution because a scene's
PDF is related to the Rayleigh log-PDF and PDF of backscatter strengths
via a convolution integral. A simple deconvolution algorithm is
demonstrated by separating a submarine lava flow from its adjacent
sediments in a side-scan sonar image histogram.
Mitchell, N. C., "Representing backscatter fluctuations with a PDF convolution
equation, and its application to study backscatter variability in side-scan sonar images",
IEEE Transactions on Geoscience and Remote Sensing, 33, 1328-1331, 1995.