REMOTE SENSING IMAGE FUSION METHOD BASED ON CONTOURLET-DOMAIN HIDDEN MARKOV TREE MODEL

Under the multi-resolution universal sensor model, a remote sensing image fusion method based on Hidden Markov tree model was proposed by applying both Contourlet transform and hidden Markov tree model to gain the fused Contourlet coefficient by Maximum A Posteriori(MAP) estimation. Several commonly-used fusion methods were performed between SAR image and multi-spectral data. The fusion results were compared with that proposed in this paper. The experiment indicates that the spectral characteristics can be preserved effectively when the spatial resolution is enhanced.