Genetic Fuzzy Rule-Based Classifiers for Land Cover Classification from Multispectral Images

Dimitris Stavrakoudis; John B. Theocharis; George Zalidis

doi:10.1007/978-90-481-3018-4_8

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Genetic Fuzzy Rule-Based Classifiers for Land Cover Classification from Multispectral Images

Dimitris Stavrakoudis John B. Theocharis George Zalidis

Year: 2009 Pages: 195-221

DOI: 10.1007/978-90-481-3018-4_8

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Keywords:

Multispectral image Fuzzy rule Artificial intelligence Interpretability Pattern recognition (psychology) Computer science Fuzzy logic Feature (linguistics) Land cover Classifier (UML) Boosting (machine learning) Feature vector Fuzzy set Contextual image classification Data mining Machine learning Image (mathematics) Engineering Land use

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Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Genetic Fuzzy Rule-Based Classifiers for Land Cover Classification from Multispectral Images

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