基于多种变换的遥感图像新型融合方法

A New Remote Sensing Image Fusion Algorithm Based on Various Transformations

针对多光谱图像空间分辨率低这一特点,提出一种在PCA变换基础上,利用小波变换和高通滤波相结合的图像融合算法。实现了ETM+全色波段与ETM+多光谱波段图像的融合,并从空间纹理信息,光谱真实性两个方面进行定性和定量评价。研究表明,该融合算法产生的光谱失真较小,同时很大程度地保持了高分辨率全色波段的空间纹理细节信息,是一种较好的图像融合方法。

In this paper,considering the drawback of low spatial resolution of multispectral image,the authors proposed an improved fusion method which is based on PCA transform,wavelet transform and high pass filter.The proposed method fuses the extracted information from the panchromatic image into each band of multispectral image.ETM＋ data is employed to evaluate the performance of the proposed method by using both visual and quantitative criteria.The experiment results have shown that this proposed method can maximally preserve the spectral information in each original band of multispectral image and effectively enhanced its spatial resolution.