Supervised, Semi-supervised, and Unsupervised Learning for Hyperspectral Regression
Felix M. Riese, Sina Keller
Topics & Concepts
Hyperspectral imagingArtificial intelligenceDimensionality reductionComputer scienceRandom forestPattern recognition (psychology)Feature selectionSupervised learningUnsupervised learningAutoencoderCluster analysisMachine learningGround truthRegressionFeature learningArtificial neural networkMathematicsStatisticsRemote-Sensing Image ClassificationSpectroscopy and Chemometric AnalysesFace and Expression Recognition