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Advances in Electronics, Communication and Computing pp 363–370Cite as

Enhanced Pixel Purity Index Algorithm to Find the Index Position of the Pure Pixels in Hyperspectral Images

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 443))

Abstract

This paper proposes an enhanced pure pixel index (PPI) algorithm for hyperspectral imaging. The conventional PPI algorithm uses random skewers in the process of finding the pure pixel indexes. The randomness in generating skewers leads to iterate the process multiple number of times to pick the most repeating pixel. The iteration involved in the process increases the computational time of the algorithm. The research contribution in this paper is that, the randomness in generating the skewers has been eliminated in the enhanced PPI algorithm by generating skewer by correlating the skewer with the given hyperspectral image. The proposed algorithm has reduced the computational complexity as well.

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Authors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Chennai, India

    S. Graceline Jasmine & V. Pattabiraman

Authors
  1. S. Graceline Jasmine
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  2. V. Pattabiraman
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Corresponding author

Correspondence to S. Graceline Jasmine .

Editor information

Editors and Affiliations

  1. Smart Energy Research Unit, College of Engineering and Science, Victoria University, Melbourne, VIC, Australia

    Akhtar Kalam

  2. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  3. Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Rangpo, Sikkim, India

    Kalpana Sharma

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© 2018 Springer Nature Singapore Pte Ltd.

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Jasmine, S.G., Pattabiraman, V. (2018). Enhanced Pixel Purity Index Algorithm to Find the Index Position of the Pure Pixels in Hyperspectral Images. In: Kalam, A., Das, S., Sharma, K. (eds) Advances in Electronics, Communication and Computing. Lecture Notes in Electrical Engineering, vol 443. Springer, Singapore. https://doi.org/10.1007/978-981-10-4765-7_38

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  • DOI: https://doi.org/10.1007/978-981-10-4765-7_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4764-0

  • Online ISBN: 978-981-10-4765-7

  • eBook Packages: EngineeringEngineering (R0)

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