提出了一种基于小波变换的多光谱图像与高空间分辨率图像融合方法.该方法通过局部方差准则利用加权平均将高空间分辨率图像和多光谱图像经小波分解的低频分量进行融合,然后将融合的低频分量和高空间分辨率图像的细节分量结合进行小波反演变换得到融合图像.通过和WT方法的融合结果进行对比评价,表明了该方法在提高多光谱图像的空间细节表现能力和保持光谱信息上都有很好的效果.

A new technique of the fusion of a high spatial resolution image and a low-resolution, multisprectral image is developed based on wavelet transform. This method merges the lower frequency components of a multispectral image and its high spatial resolution image by means of local deviation rules with weighting average. And then the merged image is reconstructed by an inverse wavelet transform using the fused approximation and details from the high spatial resolution image. Compared with WT method, the new method presented is clearly better in preserving spectral and improving spatial presentation.