Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Expert System Classifier for RS Data Classification
https://orcid.org/http://orcid.org/0000-0002-3090-2203
https://orcid.org/http://orcid.org/0000-0002-4702-4953
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.
Expert System Classifier for RS Data Classification
https://orcid.org/http://orcid.org/0000-0002-3090-2203
https://orcid.org/http://orcid.org/0000-0002-4702-4953
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.
Expert System Classifier for RS Data Classification
https://orcid.org/http://orcid.org/0000-0002-3090-2203
https://orcid.org/http://orcid.org/0000-0002-4702-4953
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.
Expert System Classifier for RS Data Classification
Lecture Notes in Civil Engineering
Nandagiri, Lakshman (Herausgeber:in) / Narasimhan, M. C. (Herausgeber:in) / Marathe, Shriram (Herausgeber:in) / Shivakumar, B. R. (Autor:in) / Nagaraja, B. G. (Autor:in)
International Conference on Civil Engineering Trends and Challenges for Sustainability ; 2021
27.06.2022
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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