A Curvature-Based Fast Back-Projection Method for Ice-Sounding Radar Imaging

Synthetic aperture processing of radar sounding in ice is made complicated by the curvature of the ice surface. In order to tackle this issue, this study presents a fast back-projection (FBP) ice exploration imaging method based on the ice-surface curvature, aimed at reducing its effect on the ice-sounding radar imaging results. The specific implementation steps of the proposed method are applied in the simulation of point targets and ice-sounding radar data. Experiments verify the effectiveness of the proposed algorithm in ice sheet imaging. The experimental results demonstrate that the algorithm can enhance imaging quality (increase the signal-to-noise ratio (SNR) by approximately 15–20 dB) while only slightly increasing time complexity.

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Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3554809
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00

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article

A Curvature-Based Fast Back-Projection Method for Ice-Sounding Radar Imaging

Longhui Ran, Jinbiao Zhu, Shinan Lang, Yuquan Liu
IEEE Transactions on Geoscience and Remote Sensing
Cryospheric studies and observations
article

A Curvature-Based Fast Back-Projection Method for Ice-Sounding Radar Imaging

Longhui Ran, Jinbiao Zhu, Shinan Lang, Yuquan Liu
article en

Abstract

Synthetic aperture processing of radar sounding in ice is made complicated by the curvature of the ice surface. In order to tackle this issue, this study presents a fast back-projection (FBP) ice exploration imaging method based on the ice-surface curvature, aimed at reducing its effect on the ice-sounding radar imaging results. The specific implementation steps of the proposed method are applied in the simulation of point targets and ice-sounding radar data. Experiments verify the effectiveness of the proposed algorithm in ice sheet imaging. The experimental results demonstrate that the algorithm can enhance imaging quality (increase the signal-to-noise ratio (SNR) by approximately 15–20 dB) while only slightly increasing time complexity.

IEEE Transactions on Geoscience and Remote SensingVol. 63
Polar Research Institute of China (CN), Chinese Academy of Sciences (CN), Beijing University of Technology (CN), Institute of Remote Sensing and Digital Earth (CN), Aerospace Information Research Institute (CN)
National Natural Science Foundation of China, Key Technologies Research and Development Program
Climate action
Openalex Percentile: Top 89%
Cryospheric studies and observations
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