Removal of Diagonal Strip Noise in Airborne Ice Penetrating Radar Data

Abstract Airborne ice-penetrating radar (IPR) is a powerful geophysical method for detecting ice thickness, subglacial topography and internal layers in the vast and frigid Antarctic ice sheet. Data processing is an essential step in improving the signal-to-noise ratio (SNR). In order to eliminate t...

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Bibliographic Details
Published in:Journal of Physics: Conference Series
Main Authors: Luo, Kun, Liu, Sixin, Tang, Xueyuan, Li, Lin
Format: Article in Journal/Newspaper
Language:unknown
Published: IOP Publishing 2023
Subjects:
Amery
Amery Ice Shelf
Antarctic
Antarc*
Ice Sheet
Ice Shelf
Online Access:http://dx.doi.org/10.1088/1742-6596/2651/1/012040
https://iopscience.iop.org/article/10.1088/1742-6596/2651/1/012040
https://iopscience.iop.org/article/10.1088/1742-6596/2651/1/012040/pdf
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Summary:Abstract Airborne ice-penetrating radar (IPR) is a powerful geophysical method for detecting ice thickness, subglacial topography and internal layers in the vast and frigid Antarctic ice sheet. Data processing is an essential step in improving the signal-to-noise ratio (SNR). In order to eliminate the diagonal strip noise mainly present in airborne IPR data of the Amery ice shelf and Grove Mountain regions, traditional ground penetrating radar processing methods such as F-K (frequency-wavenumber domain) filtering and F-K migration are applied. The validity of the data processing methods is proved by the quantitative index of image quality evaluation. It provides a reference for subsequent airborne radar data processing and application.

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