利用非负矩阵分解法校正SAR数据中的超宽带射频干扰

Mingliang Tao, Feng Zhou
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摘要

射频干扰(RFI)是合成孔径雷达(SAR)的一个主要问题,它会影响图像质量和图像解译。现有的方法大多是沿距离方向对各个方位回波进行处理,假设RFI的带宽小于SAR的带宽。但是,如果SAR回波受到超宽带RFI的污染,即RFI的带宽相对大于发射信号,传统的方法会因信号损失大而失效。本文讨论了超宽带RFI的特点,提出了一种沿方位角方向的非负矩阵分解抑制方法。实验结果表明了该方法的有效性。
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Correction of ultra wide-band radio frequency interference in SAR data using nonnegative matrix factorization
Radio frequency interference (RFI) is a major issue for synthetic aperture radar (SAR), and would affect the image quality and image interpretation. The majority of existing methods are applied on each azimuth echoes along range direction with the assumption that bandwidth of RFI is less than that of SAR. However, if SAR echoes are contaminated by ultra wide-band RFI, i.e., the bandwidth of RFI is relatively larger than the transmitted signal, traditional methods would fail due to large signal loss. In this paper, we discussed the characteristics of ultra wide-band RFI, and proposed a mitigation method using nonnegative matrix factorization along azimuth direction. The experimental results indicate the effectiveness of the proposed method.
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