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Interferometric Processing of ScanSAR Data Using Stripmap Processor: New Insights From Coregistration

机译:使用Stripmap处理器的ScanSAR数据干涉测量:Coregistration的新见解

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Processing scanning synthetic aperture radar (ScanSAR) data using a stripmap processor, which is called full-aperture processing, has been the choice of many researchers. ScanSAR data are known to require very high azimuth coregistration precision which is usually achieved by a geometrical coregistration followed by a spectral diversity coregistration on the ScanSAR burst. However, for full-aperture processing, since individual bursts are no longer available for spectral diversity coregistration, the cross-correlation method in practice is still used to coregister ScanSAR data as stripmap data. We analyze the azimuth coregistration precision requirement of full-aperture processing and find that its requirement can be significantly relaxed. This is confirmed by a number of experiments, including simulations and real data experiments whose results are in good agreement with each other. An additional experiment on the cross-correlation method supports its use in full-aperture processing. Concluding from the experimental results, we further propose a simple method to evaluate the azimuth coregistration precision requirement for practical use. Finally, we present examples with ALOS-2 ScanSAR data.
机译:使用带状图处理器来处理合成孔径雷达(ScanSAR)数据,这被称为全孔径处理,已成为许多研究人员的选择。众所周知,ScanSAR数据需要非常高的方位角配准精度,这通常是通过几何配准,然后在ScanSAR脉冲串上实现频谱分集配准来实现的。但是,对于全光圈处理,由于单个突发不再可用于频谱分集增强,因此实际上,互相关方法仍用于将ScanSAR数据共注册为条带图数据。我们分析了全孔径处理的方位角精度要求,发现可以大大放宽其要求。大量的实验证实了这一点,其中包括模拟和真实数据实验,其结果相互吻合。互相关方法的另一个实验支持其在全光圈处理中的使用。从实验结果得出结论,我们进一步提出了一种简单的方法来评估实际应用中的方位角趋向精度要求。最后,我们给出带有ALOS-2 ScanSAR数据的示例。

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