一种超高分辨率遥感图像融合新算法

该文针对超高分辨率的全色光图像和多光谱图像的融合，提出了一种基于对应分析的图像融合新算法。该算法在对多光谱数据进行对应分析的基础上，利用冗余小波变换提取出全色光图像的空间细节信息并将其融入到成分空间。实验分别采用IKONOS和QuickBird数据，融合结果的目视效果与客观评价表明，相比现有同类融合方法，该方法能够在提高空间分辨率的同时更好地保持光谱特性，有效地减少了色彩失真的现象。

A New Algorithm for Fusing Very High Resolution Remote Sensing Images

In this paper, a new image fusion approach is presented based on correspondence analysis to sharpen the multispectral images with the panchromatic image. First, the original multispectral images are transformed into component space by correspondence analysis. Then, the panchromatic spatial detail information extracted by the redundant wavelet is injected into the component space. Finally, the fused results are obtained through the inverse transformation. Different IKONOS and QuickBird images have been fused with this new approach. Visual and statistical analyses prove that the proposed method does significantly overcome the color distortion and improve the fusion quality compare to some existing techniques.