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Change Over Time in Grey Levels of Multispectral Landsat 5TM/8OLI Satellite Images

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Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 556))

Abstract

Change detection (CD) from the Earth’s surface has developed into an important issue throughout the world. CD methods have found applicability in socio-economic assessments, environmental monitoring, exploring resources, etc., and till today, various numbers of CD methodologies utilising remotely sensed data have been developed. Researchers have categorised different CD techniques on the basis of distinct viewpoints. A common one is to associate different techniques in two categories pre-classification CD and post-classification CD. This paper examines the efficiency of post-classification, texture-based CD method. Changing conditions are investigated for the three cases of civic urbanisation, depleted lake’s water and surging rivers and lake. Changes in the image parameters are first analysed with first-order statistics, i.e. (non-zero ‘mean’ and ‘standard deviation’), and then changes in the visual characteristics are quantitatively measured through the grey level by second-order statistical parameters. Contrast, correlation, energy and homogeneity are the grey level co-occurrence matrix (GLCM) features which predict change in the ‘visual’ appearance of the texture. Texture gets converted from one form to another form represented by pre- and post-grey level image, respectively. Finally, we have established a novel changing ‘pattern’ of the texture from the aforesaid three cases.

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Acknowledgements

We would like to convey our sincere thanks to United States Geological Survey (U.S.G.S), NASA Earth Observatory and NASA Landsat Science for their valuable Landsat satellite images, data and guidance used in this research work. Authors also wish to express their deep gratitude to honourable reviewers for their useful and constructive suggestions in making this research more useful.

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  1. Department of Electronics & Communication Engineering, GEU, Dehradun, UK, India

    Amit Kumar Shakya, Ayushman Ramola, Akhilesh Kandwal & Rishi Prakash

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  1. Amit Kumar Shakya
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Correspondence to Amit Kumar Shakya .

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  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Vijay Nath

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    Jyotsna Kumar Mandal

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Shakya, A.K., Ramola, A., Kandwal, A., Prakash, R. (2019). Change Over Time in Grey Levels of Multispectral Landsat 5TM/8OLI Satellite Images. In: Nath, V., Mandal, J. (eds) Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems. Lecture Notes in Electrical Engineering, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-13-7091-5_29

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