一种带几何约束的大幅面遥感影像自动快速配准方法

A Rapid Image Registration Method Based on Restricted Geometry Constraints for Large-Size Remote Sensing Image

针对大幅面遥感影像的配准需求,提出了一种带有几何约束的大幅面遥感影像快速自动配准方法。该方法首先结合遥感影像空间地理信息构建影像粗配准模型;然后在粗配准模型的约束下,通过对大幅面遥感影像进行规则格网划分,结合改进的SIFT算法和并行策略实现影像精配准。实验结果表明,本文方法能提高影像的配准效率,且配准精度较高,适用于大幅面遥感影像之间的配准。

Considering the registration of large-size remote sensing images, a rapid image registration method based on restricted geometry constraints is proposed. Firstly, the coarse image registration combining geography information is introduced for remote sensing image. Then, by dividing the large- size image into grid images, fine registration is done combining an improved SIFT algorithm and parallel architecture under the constraints of a coarse registration model. Experimental results show that the proposed method not only can improve the efficiency of image registration, but also can process higher registration accurately, and applicable for registering large-size remote sensing images.