REFERENCES

1. H. I. Cakir, and S. Khorram, “Pixel Level Fusion of Panchromatic and Multispectral Images Based on Correspondence Analysis,” Photogrammetric Engineering & Remote Sensing, Vol. 74, No. 2, pp. 183-192, 2008.
2. W. Dou, Y. Chen, X. Li, D.Z. Sui, “A general framework for component substitution image fusion: An implementation using the fast image fusion method,” Computers and Geosciences, Vol. 33, pp. 219-228, 2007.
3. K. G. Nikolakopoulos, “Comparison of nine fusion techniques for very high resolution data,” Photogrammetry Engineering and Remote Sensing, Vol. 74, No. 5, pp. 647-659, 2008.
4. Y. Siddiqui, “The modified IHS method for fusing satellite imagery,” In Proceedings of the Annual Conference ASPRS, Anchorage, Alaska, May, 2003.
5. Y. Ling, M. Ehlers, E. L. Usery, M Madden, “FFT-enhanced IHS transform method for fusing high-resolution satellite images,” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 61, pp. 381-392, 2007.
6. F. Laporterie-Dejean, H. de Boissezon, G. Flouzat, M-J. Lefevre-Fonollosa, “Thematic and statistical evaluation of five panchromatic/multispectral fusion methods on simulated PLEIADES-HR images,” Information Fusion, Vol. 6, pp. 193-212, 2005.
7. J. Hill, C. Diemer, O. Stover, Th. Udelhoven “A local correlation approach for the fusion of the remote sensing data with different spatial resolutions in forestry applications,” International Archieves of Photogrammetry and Remote Sensing, Vol. 32 (7-4-3 W6), 1999.
8. J. G. Liu, “Smoothing filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details,” International Journal of Remote Sensing, Vol. 21, No. 18, pp. 3461-3472, 2000.
9. J. Vrabel, “Multispectral Imagery Band Sharpening Study,” Photogrammetry Engineering and Remote Sensing, Vol. 62, pp. 1075-1083, 1996.
10. Y. Zhang, “A new merging method and its spectral and spatial effects,” International Journal of Remote Sensing, Vol. 20, No. 10, pp. 2003-2014, 1999.
11. Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, “A Comparative Analysis of Image Fusion Methods,” IEEE Transactions of Geoscience and Remote Sensing, Vol. 43, No. 6, pp. 1391-140, 2005.
12. U. Kumar, C. Mukhopadhyay, and T. V. Ramachandra, “Pixel based fusion using IKONOS imagery,” International Journal of Recent Trends in Engineering (Computer Science), Vol. 1, No. 1, pp. 178-182, 2009.
13. U. Kumar, C. Mukhopadhyay and T. V. Ramachandra, “Fusion of Multisensor Data: Review and Comparative Analysis”, Proceedings of the 2009 WRI Global Congress on Intelligent Systems, 19-21 May 2009, Xiamen, China, pp. 418 – 422, IEEE Computer Society, Conference Publishing Services, Los Alamitos, California, 2009.
14. S. Taylor, L. Kumar, and N. Reid, “Mapping Lantana camara: Accuracy Comparison of Various Fusion Techniques,” Photogrammetric Engineering and Remote Sensing, Vol. 76, No. 6, pp. 691-700, 2010
15. A. Svab., and K. Ostlr, “High-resolution image Fusion: Methods to Preserve Spectral and Spatial Resolution,” Photogrammetric Engineering and Remote Sensing, Vol. 72, No. 5, pp. 565-572, 2006.
16. M. F. Yakhdani and A. Azizi “Quality assessment of image fusion techniques for multisensor high resolution satellite images (case study: IRS-P5 and IRS-P6 satellite images),” In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium – 100 Years ISPRS, Vienna, Austria, July 5–7, 2010, IAPRS, Vol. XXXVIII, Part 7B.
17. Y. Jinghui, Z. Jixian, L. Haitao, S. Yushan, P. Pengxian, ”Pixel level fusion methods for remote sensing images: a accurate review,”  In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium – 100 Years ISPRS, Vienna, Austria, July 5–7, 2010, IAPRS, Vol. XXXVIII, Part 7B.
18. M. Ehlers, S. Klonusa, P. J. Åstrandb, and P. Rossoa, “Multi-sensor image fusion for pansharpening in remote sensing',” International Journal of Image and Data Fusion, Vol. 1, No. 1, pp. 25-45, 2010.
19. B. Yang, and S. Li, “Pixel-level image with simultaneous orthogonal matching pursuit,” Information Fusion, 2010. doi:10.1016/j.inffus.2010.04.001
20. J. Zhang, “Multi-source remote sensing data fusion: status and trends,” International Journal of Image and Data Fusion, Vol. 1, No. 1, pp. 5-24, 2010.

Uttam Kumar has an Engineering Degree in Computer Science from VTU, Belgaum, India and Master’s Degree in Geoinformation Science from ITC, The Netherlands. He is currently a PhD student at the Department of Studies and Centre for Sustainable Technologies, Indian Institute of Science, Bangalore. His areas of research are developing algorithms for multi-satellite sensor spatial temporal data analysis. His research interests are Pattern recognition, Remote sensing, Data mining and Image processing.

Anindita Dasgupta is with the Centre for Ecological Sciences, Indian Institute of Science, Bangalore. She has a Master’s Degree in BioTechnology from Bangalore University, India. Her research interests include Remote Sensing, Image Processing, Geographical Information Systems, Spatial Data Analysis and Urban Sprawl.

Chiranjit Mukhopadhyay earned a Ph.D. in Statistics from University of Missouri, Columbia in 1992, after obtaining M-Stat and B-Stat from Indian Statistical Institute, Kolkata. Currently he is Associate Professor of Statistics in the Department of Management Studies, Indian Institute of Science, Bangalore. He has served in the faculty of several Universities around the globe like The Ohio State University, Case Western Reserve University, Bilkent University etc. His current research interests include Bayesian Statistics, Reliability Theory, Statistical Quality Control, Empirical Finance and Financial Econometrics.

N. V. Joshi is at the Center for Ecological Sciences, Indian Institute of Science, Bangalore. He obtained his Ph.d in Molecular Biophysics from the Indian Institute of Science in 1980 and was working at the Center for Theoretical Studies before joing the Center for Ecological Sciences in 1987. His research interests are mainly in the application of mathematic modeling and statistical analysis to life sciences. He has published has more than 50 scientific publications covering diverse areas such as biophysics, meteorology, evolutionary biology and climate change. He has served as the Chairman of the Center for Ecological Sciences and also of the National Center for Science information at the Institute. He is a fellow of the Indian Academy of Sciences, Bangalore, has been a member of the editorial board of several journals (Journal of Biosciences, Current Science, Journal of the Indian Institute of Science) and is at present one of the Associate Editors of Current Science.

Ramachandra T. V. obtained his Ph.D. from Indian Institute of Science (IISc), Bangalore. Currently he is the Co-ordinator of Energy & Wetlands Research Group at the Centre for Ecological Sciences (CES), Associate Faculty at Centre for Sustainable Technologies (CST) and Centre for infrstructure, Sustainable Transport and Urban Planning (CiSTUP) at IISc, Bangalore. His area of research includes remote sensing, digital image processing, urban sprawl: pattern recognition, modelling, energy systems, renewable systems, energy planning, energy conservation, environmental engineering education, etc. He has published 144 research papers in national and international journals, and has more than 88 papers in conferences and has written 14 books on related topics. He is member of many national and internationally recognized professional bodies. He is a recipient of the prestigious Satish Dhawan Young Engineer Award, 2007 of Karnataka State Government, India.