Abstract：Due to the significant spectral difference in multimodal image registration, the rate of correctly matched feature-points calculated with point-feature detecting and matching algorithms, such as speed up Robust features,SURF, is quite low in some difficult cases. In order to solve this issue, this paper proposes a novel image registration approach with the help of point and curve features. It adopts the location information indexed by the correct matching pair of feature-points and transformation information determined by the pair of correct matching curves simultaneously. Also, the feasibility and advantages of this algorithm were all confirmed by the experiments in this paper. The results show that this method can achieve automatically the registration of the multi-modal remote sensing images in the completely unattended case and align some kinds of remote sensing images automatically. In addition, it is more robust and reliable.
宋智礼. 基于特征点与边界信息的全自动多模态遥感图像配准方法[J]. 国土资源遥感, 2014, 26(3): 48-54.
SONG Zhili. Automatic approach based on point and curve features for multimodal remote sensing image registration. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(3): 48-54.
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