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Expert System Classifier for RS Data Classification

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Recent Advances in Civil Engineering (CTCS 2021)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 256))

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Abstract

Classification of remote sensing (RS) imagery has been a primary source for map** applications. Many classification algorithms have been developed in the past four decades to aid this purpose. Most of these classifiers are designed to operate on a single source of data and therefore, fail to operate on multi-source information. An expert system classifier, on the other hand, is solely designed to take advantage of the multi-source data and thereby brings a new dimension to the classification approach. Unlike most other classifiers, the expert system classifier is constructed and operated solely based on the domain knowledge of the expert himself/herself. In this paper, we illustrate the construction of an expert system classifier using multi-source RS imagery for the classification perspective. From the results obtained, we note that expert system classifiers can produce excellent results on par with many traditional classifiers.

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Acknowledgements

This work was supported by N.M.A.M. Institute of Technology, Nitte, Karnataka, India, and K.L.E. Institute of Technology, Hubli, Karnataka, India.

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Authors and Affiliations

  1. NMAM Institute of Technology, Nitte, 574110, India

    B. R. Shivakumar

  2. KLE Institute of Technology, Hubli, 580027, India

    B. G. Nagaraja

Authors
  1. B. R. Shivakumar
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  2. B. G. Nagaraja
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Corresponding author

Correspondence to B. R. Shivakumar .

Editor information

Editors and Affiliations

  1. Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Mangalore, India

    Lakshman Nandagiri

  2. Department of Civil Engineering, National Institute of Technology Karnataka, Mangalore, India

    M. C. Narasimhan

  3. Civil Engineering, N.M.A.M. Institute of Technology, Karkala, Karnataka, India

    Shriram Marathe

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Shivakumar, B.R., Nagaraja, B.G. (2023). Expert System Classifier for RS Data Classification. In: Nandagiri, L., Narasimhan, M.C., Marathe, S. (eds) Recent Advances in Civil Engineering. CTCS 2021. Lecture Notes in Civil Engineering, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-19-1862-9_5

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  • DOI: https://doi.org/10.1007/978-981-19-1862-9_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1861-2

  • Online ISBN: 978-981-19-1862-9

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