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Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network

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Computational Intelligence in Communications and Business Analytics (CICBA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1955))

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Abstract

Hundreds of continuous bands make up a hyperspectral image. All the bands are not equal important. Some of the bands are significant and others are redundant. Band reduction is a typical step before further processing. Instead of attempting to handle the complete information set without losing crucial data, it is essential to select the most valuable bands. Using traditional band selection techniques, the predetermined number of dimensions are selected from the hyperspectral image. In this article, we propose a novel single-layer neural network and a genetic evolutionary approach to reduce a hyperspectral image’s high dimension. The process involves selecting the two bands with the lowest correlation in each iteration and eliminating two redundant bands. The suggested framework eliminates the unnecessary bands from a hyperspectral image and then chooses the ideal number of the most crucial bands.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Assam University, Silchar, India

    Radha Krishna Bar & Somnath Mukhopadhyay

  2. RRSC-East, Indian Space Research Organization, Kolkata, India

    Debasish Chakraborty

  3. University of Limerick, Limerick, Ireland

    Mike Hinchey

Authors
  1. Radha Krishna Bar
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  2. Somnath Mukhopadhyay
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  3. Debasish Chakraborty
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  4. Mike Hinchey
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Corresponding author

Correspondence to Somnath Mukhopadhyay .

Editor information

Editors and Affiliations

  1. Kalyani Government Engineering College, Kalyani, India

    Kousik Dasgupta

  2. Assam University, Silchar, India

    Somnath Mukhopadhyay

  3. University of Kalyani, Kalyani, West Bengal, India

    Jyotsna K. Mandal

  4. Visvabharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

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Bar, R.K., Mukhopadhyay, S., Chakraborty, D., Hinchey, M. (2024). Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1955. Springer, Cham. https://doi.org/10.1007/978-3-031-48876-4_8

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  • DOI: https://doi.org/10.1007/978-3-031-48876-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48875-7

  • Online ISBN: 978-3-031-48876-4

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