Improved slope estimation for SAR Doppler ambiguity resolution
Improved slope estimation for SAR Doppler ambiguity resolution
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DOI：
10.1109/tgrs.2005.861925
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发表时间：
2006-02
影响因子：
8.2
通讯作者：
I. Cumming;Shu Li
中科院分区：
文献类型：
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作者：
I. Cumming;Shu Li
利用Radon变换来测量合成孔径雷达(SAR)数据中线性特征的对准程度的思想为“视位移”类的多普勒模糊解算算法注入了新的活力。在这些算法中，通过估计目标能量的斜率来获得足够精确的卫星波束指向角，从而解算出多普勒模糊。在解释了该方法并添加了一些小的改进之后，展示了它如何在卫星SAR数据上很好地工作。然后，提出了一种结合Radon和Look位移算法思想的替代方法，以获得计算更简单和更准确的算法。此外，还使用了“空间分集”方法的质量检查来增加算法的健壮性。尽管该算法是为高对比度场景设计的，但它在低到中等对比度场景中也非常好地工作。
The idea of using the Radon transform to measure the alignment of linear features in synthetic aperture radar (SAR) data has breathed new life into the "look displacement" class of Doppler ambiguity resolution algorithms. In these algorithms, the slope of target energy is estimated to obtain the satellite beam pointing angle accurately enough to resolve the Doppler ambiguity. After explaining the method and adding some minor improvements, it is shown how it can work well on satellite SAR data. Then, an alternate method is developed that combines the ideas of the Radon and look displacement algorithms to obtain a computationally simpler and more accurate algorithm. In addition, the quality checks of the "spatial diversity" approach are used to increase the robustness of the algorithm. Even though the algorithm was conceived for high-contrast scenes, it works remarkably well in low to medium contrast scenes as well.