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PRINCIPAL COMPONENT ANALYSIS APPROACH IN HYPERSPECTRAL IMAGE CLASSIFICATION WITH MACHINE LEARNING METHODS
Author(s) -
Şaziye Özge Atik,
Muhammed Enes Atik
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.15659/isag2021.12516
Subject(s) - hyperspectral imaging , principal component analysis , computer science , pattern recognition (psychology) , artificial intelligence , component (thermodynamics) , contextual image classification , kernel principal component analysis , image (mathematics) , computer vision , support vector machine , kernel method , thermodynamics , physics

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