© 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,*

CONCLUSIONS

The advantage of the SFIM over the HIS and Brovey fusion technique is that it improves spatial details with the fidelity to the image spectral properties and contrast. This technique can be used to perform high speed real-time image fusion process and visualisation. The SFIM technique is not applicable for fusing images that are fundamentally different in illumination conditions or physical properties such as the fusion between optical images and radar images. The case study unravels the pattern of growth in Greater Bangalore and its implication on local climate and also on the natural resources, necessitating appropriate strategies for the sustainable management. This would help developers and town planners to project growth patterns and facilitate various infrastructure facilities. The study reveals the type, extent and nature of sprawl taking place in a region. Methods of change detection from multi-resolution images integrating spectral, structural and textural features to generate change patches in a landscape are future scope of this work.

 

 


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