基于小波变换和遗传算法的遥感影像匹配方法的研究

The Study of Remote Sensing Images Matching Method Based on Wavelet Transform and Genetic Algorithms

该文提出了利用小波分析和遗传算法实现遥感影像的匹配,在对参考影像和目标影像进行小波分解的基础上,利用遗传算法优良的全局寻优特点先对低分辨率的遥感影像进行匹配操作,然后逐级上推,最终实现全分辨率情况下的遥感影像的匹配。实验结果表明,该算法不仅具有较高的匹配精度,而且具有较高的效率。

In this paper, a matching method based on wavelet transform and genetic algorithms is proposed. First, the reference images and target images are decomposed to low resolution images using wavelet transform. Then, genetic algorithms, which are useful in finding global optima, are used to match the lowest resolution images. Based on the matching result, the matching between the higher resolution images can be implemented stepwise up to the full resolution images. The results confirm the proposed algorithm can improve the efficiency greatly while guarantee the accuracy.