Representing backscatter fluctuations with a PDF convolution equation and its application to study backscatter variability in side-scan sonar images

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)1328-1331
    Number of pages3
    JournalIEEE Transactions on Geoscience and Remote Sensing
    Volume33
    Issue number6
    DOIs
    Publication statusPublished - Nov 1995

    Fingerprint

    Dive into the research topics of 'Representing backscatter fluctuations with a PDF convolution equation and its application to study backscatter variability in side-scan sonar images'. Together they form a unique fingerprint.

    Cite this