Image fusion of hyperspectral images based on hybrid contourlet-PCA transform

According to the characteristics of hyperspectral images such as multi-band and corrupted by various noises, a novel fusion method of hyperspectral images based on hybrid Contourlet transform and principal component analysis(PCA) transform were proposed. Firstly, Contourlet transform was performed simultaneously on several hyperspectral images to retain the sub-band images at different frequency and directions. Then each sub-band image was adaptively fused by PCA transform. The experiment result shows that the proposed method could well fuse hyperspectral images with noises eliminated and it outperforms the Contourlet and PCA methods.