A comparative study of RIFCM with other related algorithms from their suitability in analysis of satellite images using other supporting techniques

Purushotham Swarnalatha (School of Computing Science and Engineering, VIT University, Vellore, India)
Tripathy Balakrishna (School of Computing Science and Engineering, VIT University, Vellore, India)

Kybernetes

ISSN: 0368-492X

Publication date: 28 January 2014

Abstract

Purpose

The purpose of this paper is to provide a way to analyze satellite images using various clustering algorithms and refined bitplane methods with other supporting techniques to prove the superiority of RIFCM.

Design/methodology/approach

A comparative study has been carried out using RIFCM with other related algorithms from their suitability in analysis of satellite images with other supporting techniques which segments the images for further process for the benefit of societal problems. Four images were selected dealing with hills, freshwater, freshwatervally and drought satellite images.

Findings

The superiority of the proposed algorithm, RIFCM with refined bitplane towards other clustering techniques with other supporting methods clustering, has been found and as such the comparison, has been made by applying four metrics (Otsu (Max-Min), PSNR and RMSE (40%-60%-Min-Max), histogram analysis (Max-Max), DB index and D index (Max-Min)) and proved that the RIFCM algorithm with refined bitplane yielded robust results with efficient performance, reduction in the metrics and time complexity of depth computation of satellite images for further process of an image.

Practical implications

For better clustering of satellite images like lands, hills, freshwater, freshwatervalley, drought, etc. of satellite images is an achievement.

Originality/value

The existing system extends the novel framework to provide a more explicit way to analyze an image by removing distortions with refined bitplane slicing using the proposed algorithm of rough intuitionistic fuzzy c-means to show the superiority of RIFCM.

Keywords

Citation

Purushotham, S. and Tripathy, B. (2014), "A comparative study of RIFCM with other related algorithms from their suitability in analysis of satellite images using other supporting techniques", Kybernetes, Vol. 43 No. 1, pp. 53-81. https://doi.org/10.1108/K-12-2012-0126

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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