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Investigating the Residual Polarimetric Distortion and Removing the Low-Quality Area of Chandrayaan-2 Dual-Frequency Synthetic Aperture Radar Full-Polarization Images

Authors :
Zhao, Xingjie
Deng, Yunkai
Han, Haidong
Zhang, Heng
Liu, Xiuqing
Liu, Dacheng
Source :
IEEE Transactions on Geoscience and Remote Sensing; 2024, Vol. 62 Issue: 1 p1-17, 17p
Publication Year :
2024

Abstract

The dual-frequency synthetic aperture radar (DFSAR) in lunar orbit, using L- and S-bands, is the only full-polarization (FP) SAR. It explores different layers of the moon, relying on the unusual rotational symmetry for polarimetric calibration. Addressing prior issues in polarimetric evaluation, this study tackles the challenges of an expanding dataset (now exceeding 900 scenes) and the necessity to evaluate polarimetric distortion (PD) values in the range direction. A novel polarimetric evaluation framework is introduced, enhancing existing methods. First, a scheme is proposed to eliminate low-quality areas in the range direction based on antenna isolation specifications, validated theoretically with simulated and real data. Second, more than 900 DFSAR scenes, downloaded prior to April 25, 2023, are utilized for evaluation, surpassing previous limitations and enhancing accessibility for users. By evaluating the L-band data, the image calibration results acquired by DFSAR between September 19, 2019, and December 4, 2020, have high accuracy and can be prioritized for lunar applications. In addition, we recommend that researchers pay attention to the issue of changing data quality for releases around March 2021. The amount of data in the S-band with the L–S-joint mode is small, and we provide the availability results directly. Third, the study applies the evaluated results to lunar polarization research, contributing to lunar exploration through polarimetric parameters. This comprehensive framework ensures accurate data utilization, addressing the evolving needs of lunar exploration with improved methodologies and expanded datasets.

Details

Language :
English
ISSN :
01962892 and 15580644
Volume :
62
Issue :
1
Database :
Supplemental Index
Journal :
IEEE Transactions on Geoscience and Remote Sensing
Publication Type :
Periodical
Accession number :
ejs65982931
Full Text :
https://doi.org/10.1109/TGRS.2024.3378449