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Unsupervised Segmentation of Satellite Images Based on Neural Network and Genetic Algorithm

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Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 309))

Abstract

Segmentation is one of the important processes in image analysis to extract the necessary but hidden information in the image. The success of the image analysis is based on the outcome of the segmentation process. There are number of methods proposed for the segmentation of satellite images. Soft computing approaches such as fuzzy logic, neural networks, and genetic algorithm are most widely used for the segmentation of satellite images. But, every method has its own advantages and disadvantages. In this paper, a new approach based on the combination of genetic algorithm and feed forward neural network is proposed for the segmentation of satellite images. In this process, the genetic algorithm selects and feeds the fittest individual to the neural network. This feed forward network performs the segmentation. The computational cost is drastically reduced due to this cooperative and parallel approach. Experimental result illustrates the efficiency of the proposed approach.

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Author information

Authors and Affiliations

  1. Department of Electronics and Control Engineering, Sathyabama University, Chennai, India

    P. Ganesan, B.S. Sathish & V. Kalist

  2. Department of Electrical and Electronics Engineering, SSN College of Engineering, Chennai, India

    V. Rajini

Authors
  1. P. Ganesan
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  2. V. Rajini
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  3. B.S. Sathish
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  4. V. Kalist
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Corresponding author

Correspondence to P. Ganesan .

Editor information

Editors and Affiliations

  1. University of Canberra, Faculty of Education, Science, Technology and Mathematics, Canberra, Australia, and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engin, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Premier and Cabinet, Office of the Chief Information Officer, Adelaide, South Australia, Australia

    Nikhil Ichalkaranje

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© 2015 Springer India

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Ganesan, P., Rajini, V., Sathish, B., Kalist, V. (2015). Unsupervised Segmentation of Satellite Images Based on Neural Network and Genetic Algorithm. In: Jain, L., Patnaik, S., Ichalkaranje, N. (eds) Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 309. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2009-1_37

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  • DOI: https://doi.org/10.1007/978-81-322-2009-1_37

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2008-4

  • Online ISBN: 978-81-322-2009-1

  • eBook Packages: EngineeringEngineering (R0)

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