Faraday Rotation Estimation Based on PolSAR Data: A Denoising Technique

Xun Wang, Dong Li, Yunhua Zhang, Jiefang Yang, Xiaojin Shi, Liting Liang
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Abstract

Low-frequency spaceborne polarimetric radar system is susceptible to the ionospheric Faraday rotation (FR). High-quality FR estimates are required for advanced polarimetric and ionospheric applications. Noise reduction plays a key role in higher quality FR estimation. Based on the Baran filter and Bickel-Bates FR estimator, this paper proposes a denoising technique for FR estimation using spaceborne polarimetric SAR data. Experiments on L-band ALOSPALSAR data of Alaska demonstrate that this technique can achieve nice noise smoothing of FR estimates.
基于PolSAR数据的法拉第旋转估计:一种去噪技术
低频星载极化雷达系统易受电离层法拉第旋转的影响。高级极化和电离层应用需要高质量的FR估计。降噪在高质量FR估计中起着关键作用。基于Baran滤波和Bickel-Bates FR估计,提出了一种星载极化SAR FR估计的去噪技术。在阿拉斯加州l波段ALOSPALSAR数据上进行的实验表明,该方法可以很好地平滑FR估计的噪声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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