Robust SAR Image Registration Based on Edge Matching and Refined Coherent Point Drift
Robust SAR Image Registration Based on Edge Matching and Refined Coherent Point Drift
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DOI：
10.1109/lgrs.2015.2451396
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发表时间：
2015-07
影响因子：
4.8
通讯作者：
Han Zhang;W. Ni;Weidong Yan;Junzheng Wu;Sha Li
中科院分区：
文献类型：
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作者：
Han Zhang;W. Ni;Weidong Yan;Junzheng Wu;Sha Li
本文提出了一种有效的合成孔径雷达（SAR）图像配准方法。相应的边缘特征提取通过探索相应的加速鲁棒特征点周围的局部空间关系。只有在到中心特征点的距离和方向方面匹配的边缘对才被视为有效的边缘特征。对于边缘点集匹配，我们引入了相干点漂移（CPD）配准方法。CPD能够保持全局拓扑结构的边缘，是强大的离群值。我们完善了原来的CPD边缘点作为先验信息，我们的信心。推导了一种新的目标函数，使配准性能得到改善。实验结果表明，该方法具有较好的配准鲁棒性和准确性.
This letter presents an effective approach for synthetic aperture radar (SAR) image registration. Corresponding edge features are extracted by exploring the local spatial relationship around corresponding speeded-up robust feature points. Only edge pairs that are matched in the aspect of distance and orientation to the center feature points are taken as effective edge features. For edge-point set matching, we introduce the coherent point drift (CPD) registration method. CPD is able to maintain the global topological structure of edges and is robust to outliers. We refine the original CPD by taking our confidence on edge points as prior information. A new objective function is deduced, resulting in a better registration performance. Experimental results show that the proposed method performs well in terms of registration robustness and accuracy.