CONCLUSION
This paper reviewed and analysed ten image fusion techniques: COS, LMVM, Modified IHS, FFT-IHS, GLP, LR, SF, Sparkle, SVHC and SVR. The performance of each method was determined by two factors: how the LSR PAN image is computed and how the modulation coefficients are defined. If the LSR PAN image is approximated from the LSR MS image, it usually has a weak correlation with the HSR PAN image, leading to color distortion in the fused image. If the LSR PAN is a LP filtered HSR PAN image, it usually shows less spectral distortion. By combining the visual inspection results and the quantitative results, it is apparent that SF produces the synthesised images closest to those the corresponding multi-sensors would observe at the highest spatial resolution level.
ACKNOWLEDGMENT
We are grateful to GeoEye Foundation, USA for providing the high spatial resolution IKONOS imagery of Greater Bangalore City, India. We are thankful to Indian Institute of Science, Bangalore for financial and infrastructure support.