© COSMAR 09,
Indian Institute of Science

Abstract
Introduction
Study Area and Data
Model
Analysis and Results
Conclusions
Acknowledgements
References
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Fusion of multi resolution remote sensing data for urban sprawl analysis
Bharath H. Aithal 1              Uttam Kumar 2              Ramachandra. T. V 3,*

REFRENCES

  1. Bharath H., (2009), Image fusion techniques in remote sensing, B.E. Dissertation, University Visvesvaraya College of Engineering, Bangalore
  2. Cheng, P., Toutin, T., and Pohl, C., (1995), A comparison of geometric models for multisource data fusion. Proceedings of International Symposiumon Remote Sensing, GIS and GPS in Sustainable Development and Environmental Monitoring, GeoInformatics ’95 - Hong Kong, 26-28 May 1995.
  3. Kumar, U., Mukhopadhayay, C., and Ramachandra T. V., (2009), Fusion of Multisensor Data: Review and Comparative Analysis. In Proceedings of the 2009 WRI Global Congress on Intelligent Systems, 19-21 May 2009, Xiamen, China, pp. 418 – 422, DOI 10.1109/GCIS.2009.457, IEEE Computer Society, Conference Publishing Services, Los Alamitos, California.
  4. Liu, J. U., (2000), Smoothing Filter-based Intensity Modulation: a spectral preserve image fusion technique for improving spatial details, International Journal of Remote Sensing, 21 (18):3461-3472
  5. Mangolini, M., (1994), Apport de la fusion d’images satellitaires multicapteurs au niveau pixel en te le de tection et photo-interpreÂtation. Dissertation published at the University ofNice, Sophia Antipolis, France, 15 November 1994.
  6. Ramachandra T. V., and Kumar, U., (2008), Wetlands of Greater Bangalore, India: Automatic Delineation through Pattern Classifiers. Electronic Green Journal, Issue 26, Spring 2008 ISSN: 1076-7975.
  7. Shen, S. S., (1990), Summary of types of data fusion methods utilized in workshop papers. Multisource Data Integration in Remote Sensing, Proceedings of Workshop, Maryland, U.S.A., 14-15 June 1990, NASA Conference Publication 3099 (Greenbelt, MD: NASA), pp. 145-149.
  8. Wang, Z., Ziou, D., Armenakis, C., Li, D., and Li, Q., (2005), A Comparative Analysis of Image Fusion Methods. IEEE Transactions of Geoscience and Remote Sensing, vol. 43 (6), pp. 1391-1402.
  9. World Urbanization Prospects, (2005), Revision, Population Division, Department of Economic and Social Affaris, UN.

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