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Recursive Enhancement of Weak Subsurface Boundaries and Its Application to SHARAD Data

P. Fang,Jinhai Zhang

Published 2022 in Remote Sensing

ABSTRACT

Sedimentary layers are composed of alternately deposited compositions in different periods, reflecting the geological evolution history of a planet. Orbital radar can detect sedimentary layers, but the radargram is contaminated by varying background noise levels. Traditional denoising methods, such as median filter, have difficulty dealing with such kinds of noise. We propose a recursive signal enhancement scheme to identify weak reflections from intense background noise. Numerical experiments with synthetic data and SHARAD radargrams illustrate that the proposed method can enhance the clarity of the radar echoes and reveal delicate sedimentary structures previously buried in the background noise. The denoising result presents better horizontal continuity and higher vertical resolution compared with those of the traditional methods.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    Remote Sensing

  • Publication date

    2022-03-21

  • Fields of study

    Physics, Computer Science, Engineering, Geology

  • Identifiers
    DOI 10.3390/rs14061525
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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