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Change Detection Analysis of Water Pollution in Coimbatore Region using Different Color Models

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Abstract

The data acquired through remote sensing satellites furnish facts about the land and water at varying resolutions and has been widely used for several change detection studies. Apart from the existence of many change detection methodologies and techniques, emergence of new ones continues to subsist. Existing change detection techniques exploit images that are either in gray scale or RGB color model. In this paper we introduced color models for performing change detection for water pollution. Here the polluted lakes are classified and post-classification change detection techniques are applied to RGB images and results obtained are analysed for changes to exist or not. Furthermore RGB images obtained after classification when converted to any of the two color models YCbCr and YIQ is found to produce the same results as that of the RGB model images. Thus it can be concluded that other color models like YCbCr, YIQ can be used as substitution to RGB color model for analysing change detection with regard to water pollution.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, 628215, Tamil Nadu, India

    G. Wiselin Jiji & R. Naveena Devi

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  1. G. Wiselin Jiji
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  2. R. Naveena Devi
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Correspondence to G. Wiselin Jiji.

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Jiji, G.W., Devi, R.N. Change Detection Analysis of Water Pollution in Coimbatore Region using Different Color Models. J. Inst. Eng. India Ser. B 99, 87–95 (2018). https://doi.org/10.1007/s40031-017-0298-0

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  • DOI: https://doi.org/10.1007/s40031-017-0298-0

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