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COMPARISON OF 10 MULTI-SENSOR IMAGE FUSION PARADIGMS FOR IKONOS IMAGES
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Uttam Kumar1, 2, Anindita Dasgupta3, Chiranjit Mukhopadhyay1, N. V. Joshi3, and T. V. Ramachandra2, 3, 4, *
1Department of Management Studies, 2Centre for Sustainable Technologies,
3Centre for Ecological Sciences, 4Centre for infrastructure, Sustainable Transport and Urban Planning,
Indian Institute of Science, Bangalore -560012, India
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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.

Citation: Uttam Kumar, Anindita Dasgupta, Chiranjit Mukhopadhyay, N. V. Joshi and T. V. Ramachandra, 2011. Comparison of 10 Multi-Sensor Image Fusion Paradigms for IKONOS Images., International Journal of Research and Reviews in Computer Science (IJRRCS), Vol. 2, No. 1, March 2011, 40–47.