Enlarging Satellite Images based on Fractal Techniques

Authors :Hassaan Th. H. Thabet^1
1Department of Electrical Technology, Technical Institute of Mosul, Northern Technical University, Mosul,Iraq

Abstract:   In this work, a very brief definition and history of Fractals were presented. Fractals are commonly found in nature; which implies that they should be good candidates for modeling different types of real world signals. Fractal-based techniques have found many applications in the field of Remote Sensing by using special computer algorithms. This paper describes the usage of fractal techniques in the enlargement of satellite imageries in order to get more information from them with approximately no distortion (zooming into the image many times). In order to have a practical experience, this research has also analyzed successful implementation of Fractal techniques on a satellite image.

Keywords: Remote Sensing, Fractals, Image Processing, Dimension, Computer Graphics

doi: 10.23918/eajse.v3i1sip165

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References
Feder, J. (1989). FRACTALS (3rd ed.). New York, NY: Plenum Press.
Fournier, A., & Milligan, T. (1985). Frame Buffer Algorithms for Stochastic Models. In:
Magnenat-Thalmann N., Thalmann D. (eds) Computer-Generated Images. Springer,
Tokyo.
Fournier, A., Fussell, D., & Carpenter, L. (1982). Computer Rendering of Stochastic Models.
Communications of the ACM, 25(6), 371-384. https://doi.org/18.1.1.01.1.01 .
Jacquin, A. (1994). An Introduction to Fractals and their applications in Electrical Engineering.
Journal of the Franklin Institute, 331(6), 659-680. https://doi.org/10.1016/0016-
0032(94)90085-X
Mandelbrot, B. B. (1983). The Fractal Geometry of Nature (2nd ed.). New York, NY: Freeman.
Paszto, V., Marek, L., Tucek, P., & Janoska, Z. (2011). Perspectives of Fractal Geometry in GIS
Analysis, GIS Ostrava, Czech Republic.
Thabet, H. Th. H. (1990). Generation and Displaying of Fractals and Their Applications to Satellite
Imagery. Unpublished M.Sc. thesis in Remote Sensing. Remote Sensing Center. University
of Mosul. Mosul. Iraq