一种基于距离变换和遗传算法的遥感图像匹配算法

A Remote Sensing Image Matching Algorithm Based on Distance Transformation and Genetic Algorithms

该文提出了一种基于距离变换和遗传算法的遥感图像匹配算法。先对参考图像和目标图像进行直方图处理,以克服不同光照条件下带来的匹配误差,在此基础上对参考图像和目标图像进行距离变换。最后利用遗传算法对距离变换后的图像进行匹配操作。实验结果表明,该算法不仅能满足一定的匹配精度,而且具有较高的匹配效率。

In this paper, a remote sensing image matching algorithm based on distance transformation and genetic algorithms is proposed. Firstly, the reference images and target images are processed using histogram equalization to overcome different brightness of them. Secondly, distance transformation is implemented on the images after histogram equalization. Lastly, genetic algorithms are used to match the distance images. The experimental results confirm the proposed algorithm can improve the efficiency greatly while guarantee the accuracy.