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

Konferenz: EUSAR 2010 - 8th European Conference on Synthetic Aperture Radar
07.06.2010 - 10.06.2010 in Aachen, Germany

Tagungsband: EUSAR 2010

Seiten: 4Sprache: EnglischTyp: PDF

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Kaplan, Nur Huseyin; Erer, Isin; Kent, Sedef; Doganlarlioglu, Altug; Kartal, Mesut (Istanbul Technical University, Turkey)

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.