Fusion of Multispectral and SAR images via Lattice filters-PCA hybrid model

Inhalt:
A new image fusion algorithm based on the subband decomposition of the source images using 2-D separable lattice filters and principle component analysis (PCA) is presented. The method is used for the fusion of multispectral and SAR data. The source images are decomposed into subband images using separable lattice filters following the PCA, these images are combined in the subband domain using a predefined rule, then the fused image is obtained by the inverse lattice filter following the inverse PCA.