混合三角网极化干涉SAR影像配准
Polarimetric and Interferometric SAR Imagery Registration Based on Hybrid Triangle
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摘要: 以常用SAR影像三步配准法为基础,针对国产机载X波段极化干涉SAR影像的变形特点,提出了一种分块格网与三角网相结合的极化干涉SAR配准方法。首先,在影像分块的基础上利用最大-次大相干系数识别不可靠点;再用三角网限制配准误差传播;最后,进行配准模型系数求解。实验结果表明,所提出的改进方法相比于普通方法,提高了极化干涉SAR影像的配准精度,有效地改善了主辅影像的干涉质量,适用于新型国产机载极化干涉SAR数据的后处理。Abstract: A registration algorithm which hybridizes the block grids and Delaunay-triangle is proposed to enhance the domestic airborne POLINSAR data accuracy.Firstly,the highest and sec-highest coherence values are used to refine the reliable grid points based on the image blocks.Secondly,the registration error is limited by Delaunay-triangles.Then,the offset model coefficient is solved.The final experiment shows that the proposed scheme increases the POLINSAR images registration.
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