Geometric Correction of Bistatic SAR Moon Mapping Results Based on the RPC Model

The bistatic synthetic aperture radar (SAR) system based on the Five-Hundred-Meter Aperture Spherical Radio Telescope (FAST) has successfully acquired multiple high-quality Moon surface images. However, the system errors introduced by noncooperative transmitting and receiving radars prevent traditional geometric correction methods based on geographic data and radar parameters from accurately transforming delay-Doppler format images into geographic coordinates, making it impossible to further utilize these images for scientific applications. In this letter, a novel geometric correction method is proposed for transforming delay-Doppler images to the Moon’s geographic coordinate images. This approach utilizes a geometric positioning model to generate ideal delay-Doppler coordinates corresponding to the Moon’s geographic coordinates. These coordinate pairs are used to fit the rational polynomial coefficient (RPC). Subsequently, based on the RPC model, localization offsets are corrected through an affine transformation and selective coefficient optimization. An optical-SAR image registration method is used to determine the localization offsets and evaluate the reliability of the geometric correction method. We demonstrate this approach using Moon SAR images obtained by the bistatic SAR system based on FAST and other transmitting radars. This method can effectively integrate multisource Moon SAR data to address specific scientific challenges.

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Publication Details

Journal
IEEE Geoscience and Remote Sensing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lgrs.2025.3596794
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
0.00

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article

Geometric Correction of Bistatic SAR Moon Mapping Results Based on the RPC Model

Chibiao Ding, Jingxing Zhu, Jinghai Sun, Lijia Huang et al.
IEEE Geoscience and Remote Sensing Letters
Geophysics and Gravity Measurements
article

Geometric Correction of Bistatic SAR Moon Mapping Results Based on the RPC Model

Chibiao Ding, Jingxing Zhu, Jinghai Sun, Lijia Huang, Yan Yin, Peng Jiang
article en

Abstract

The bistatic synthetic aperture radar (SAR) system based on the Five-Hundred-Meter Aperture Spherical Radio Telescope (FAST) has successfully acquired multiple high-quality Moon surface images. However, the system errors introduced by noncooperative transmitting and receiving radars prevent traditional geometric correction methods based on geographic data and radar parameters from accurately transforming delay-Doppler format images into geographic coordinates, making it impossible to further utilize these images for scientific applications. In this letter, a novel geometric correction method is proposed for transforming delay-Doppler images to the Moon’s geographic coordinate images. This approach utilizes a geometric positioning model to generate ideal delay-Doppler coordinates corresponding to the Moon’s geographic coordinates. These coordinate pairs are used to fit the rational polynomial coefficient (RPC). Subsequently, based on the RPC model, localization offsets are corrected through an affine transformation and selective coefficient optimization. An optical-SAR image registration method is used to determine the localization offsets and evaluate the reliability of the geometric correction method. We demonstrate this approach using Moon SAR images obtained by the bistatic SAR system based on FAST and other transmitting radars. This method can effectively integrate multisource Moon SAR data to address specific scientific challenges.

IEEE Geoscience and Remote Sensing LettersVol. 22
Chinese Academy of Sciences (CN), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association
Climate action
Openalex Percentile: Top 79%
Geophysics and Gravity Measurements
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