混合三角网极化干涉SAR影像配准

基金项目: 国家863计划资助项目(2009AA12Z145,2011AA120404);;国家自然科学基金资助项目(60890074,40523005);;中央高校基本科研业务费专项资金资助项目

详细信息

Polarimetric and Interferometric SAR Imagery Registration Based on Hybrid Triangle

¹State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road,Wuhan 430079,China

Funds: 国家863计划资助项目(2009AA12Z145,2011AA120404);;国家自然科学基金资助项目(60890074,40523005);;中央高校基本科研业务费专项资金资助项目

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。
- 极化 /
- 干涉 /
- 影像配准 /
- 混合三角网
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.
- polarimetric /
- interferometric /
- SAR /
- imagery registration