Fusion of Multi-Sensor Satellite Images Using Non-Subsampled Contourlet Transform

The presented research work proposes fusion of multi-sensor satellite images using non subsampled contourlet transform. In the proposed work, trade-off between the spectral distortion and enhancement of spatial information is witnessed while fusing two multi-sensor images. The ills of wavelet based fusion techniques such as limited directionality, lack of phase information and shift invariant are addressed with the help of Non subsampled contourlet transform. The Non subsampled contourlet helps to retain the intrinsic structural information while decomposing and reconstructing the image components. Decision based rules are applied for component substitution for fusion. The experiments are carried out against the current state of art and observed that the proposed system provides promising results visually and quantitatively. The efficiency of the proposed system in the fused product is analysed qualitatively by Isodata classification algorithm.