Satellite Image Classification Based on Fuzzy with Cellular Automata
|International Journal of Electronics and Communication Engineering|
|© 2015 by SSRG - IJECE Journal|
|Volume 2 Issue 3|
|Year of Publication : 2015|
|Authors : Harikrishnan.R and S.Poongodi|
How to Cite?
Harikrishnan.R and S.Poongodi, "Satellite Image Classification Based on Fuzzy with Cellular Automata," SSRG International Journal of Electronics and Communication Engineering, vol. 2, no. 3, pp. 34-38, 2015. Crossref, https://doi.org/10.14445/23488549/IJECE-V2I3P126
Satellite image classification is a significant technique used in remote sensing for the computerized study and pattern recognition of satellite information, which make possible the routine explanation of a huge quantity of information. Nowadays cellular automata are implemented for simulation of satellite images and also cellular automata relates to categorization in satellite image is used simultaneously. Based on information of stored image value to the cell and dimension of neighbourhood cells. Inoder fine tune classification rate of cellular automata algorithm fuzzy rules with cellular automata are used . In this paper cellular with fuzzy rules have been implemented for classifying the satellite image and quality of classified image is analyzed.
Cellular automata , membership function
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