A Remote Sensing Image Matching Algorithm Based on Distance Transformation and Genetic Algorithms
一种基于距离变换和遗传算法的遥感图像区配算法

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.