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Accurate Reconstruction and Suppression for Azimuth Ambiguities in Spaceborne Stripmap SAR Images

机译:星载带状图SAR图像方位角歧义的准确重构和抑制

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摘要

In this letter, an accurate mathematical model for azimuth ambiguity in stripmap synthetic aperture radar (SAR) images is first constructed, with an azimuth ambiguity factor (AAF) defined as the residual amplitude and phase terms of ambiguities. Next, a novel framework for reconstructing and suppressing azimuth ambiguity is proposed based on the analysis of the AAF. In this framework, azimuth ambiguities are accurately reconstructed by applying reconstruction filters in the range Doppler and 2-D frequency domain, and then, the reconstructed signal is used for suppressing azimuth ambiguities. Moreover, the proposed framework does not depend on the statistical characteristics of a SAR image and is capable of reducing the space-variant ambiguities. As verified by both simulated data and real TerraSAR-X data, the proposed method is capable of suppressing azimuth ambiguities in SAR images.
机译:在这封信中,首先构建了带状图合成孔径雷达(SAR)图像中方位模糊度的准确数学模型,并将方位模糊度因子(AAF)定义为残留幅度和模糊度的相位项。接下来,在对AAF的分析基础上,提出了一种重构和抑制方位模糊度的新框架。在该框架中,通过在多普勒范围和二维频域中应用重构滤波器来精确地重构方位角模糊度,然后,将重构的信号用于抑制方位角模糊度。而且,所提出的框架不依赖于SAR图像的统计特征,并且能够减小空间变化的歧义。经仿真数据和真实TerraSAR-X数据验证,该方法能够抑制SAR图像中的方位角模糊性。

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