几种小波融合方法在遥感影像融合中的应用与比较

Comparison and Application of Several Wavelet-based Fusion Methods in Remote Sensing Image Fusion

遥感影像融合是在提高空间分辨率的同时尽量保持光谱信息的完整性。小波融合方法已经被证明在保持光谱信息方面具有一定的优势。本文利用SPOT5的全色影像和多光谱影像,对常用的几种小波融合方法进行了试验,使用多种评价方法,将他们与常用的IHS方法和PCA方法进行了比较,并研究了小波分解层数对融合结果的影响。

One of the most important properties of the image fusion method is the capacity of spectral information preservation while injecting higher spatial resolution information. It is reported that the wavelet-based methods in image fusion have stronger ability to preserve the spectral information than some other widely used methods. In this paper, SPOT 5 panchromatic and multi-spectral images were merged using several wavelet-based image fusion methods. The results were compared to those of IHS and PCA methods and the impact of the decomposed level on the results were assessed by several of evaluation methods.