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

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...

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Bibliographic Details
Published inRemote sensing (Basel, Switzerland) Vol. 14; no. 6; p. 1525
Main Authors Fang, Peng, Zhang, Jinhai
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2022
Subjects
Background noise
Buried structures
denoising
Experiments
Mars
Noise
Noise levels
Noise reduction
Planetary evolution
Radar
Radar echoes
recursive subsurface boundaries enhancement
Remote sensing
Sedimentary structures
shallow radar echo
Signal processing
Stratigraphy
weak reflection
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Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14061525