Hyperspectral Remote Sensing Images Fusion Algorithm Based on Second Generation Bandelet and PCA Transform

Abstract:

According to the characteristics of hyperspectral remote sensing images such as multiband and data redundancy,a novel fusion method of hyperspectral remote sensing images based on the second generation Bandelet and PCA transform was proposed.Bandelet transform was performed to gain Bandelet coefficients and geometries of subbands.Then PCA transform was performed to calculate their principal component.Finally,fused images were reconstructed with their principal component by taking inverse Bandelet transform.The experiment shows that this method can well merge hyperspectral remote sensing images.Its result is better than those of Bandelet and PCA transform method.

Key words:Bandelet transform; principal component analysis; orthogonal wavelet transform; hyperspectral remote sensing image; fusion