一种改进的PCA遥感图像融合方法研究

ON AN IMPROVED PCA REMOTE SENSING IMAGE FUSION METHOD

提出了一种基于差值图像的改进PCA图像融合方法。利用低通滤波分别抽取多光谱和全色图像与相应低分辨率图像的差值图像。再利用主成分分析方法将多光谱图像的差值图像与全色图像的差值图像进行融合,在差值的层次上实现图像融合。

This paper raised a difference-image-based method to improve PCA image fusion. Low-pass filtering was used to extract difference image of multispectral image and full-color image vs corresponding low-resolution image, respectively, and then achieve image fusion at the level of difference.