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Erschienen in:
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2023 | OriginalPaper | Buchkapitel

Expert System Classifier for RS Data Classification

verfasst von : B. R. Shivakumar, B. G. Nagaraja

Erschienen in: Recent Advances in Civil Engineering

Verlag: Springer Nature Singapore

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Abstract

Classification of remote sensing (RS) imagery has been a primary source for mapping 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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Metadaten
Titel
Expert System Classifier for RS Data Classification
verfasst von
B. R. Shivakumar
B. G. Nagaraja
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
Recent Advances in Civil Engineering

Print ISBN: 978-981-19-1861-2

Electronic ISBN: 978-981-19-1862-9

Copyright-Jahr: 2023

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