IEEE Transactions on Systems Man and Cybernetics · 1976 · 1.5K citations · 4 references
ComputingEarth SciencesGeoinformaticsComputer VisionFeature EngineeringTerrain AnalysisFeature DetectionImage ClassificationTerrain ClassificationTerrain Feature ExtractionTerrain MorphometryTexture AnalysisAutomatic ClassificationFourier FeaturesFourier Transform FeaturesStatistical Texture AnalysisTerrain TextureTexture ClassificationTexture Feature ExtractionTexture Features
Three standard approaches to automatic texture classification make use of features based on the Fourier power spectrum, on second-order gray level statistics, and on first-order statistics of gray level differences, respectively. Feature sets of these types, all designed analogously, were used to classify two sets of terrain samples. It was found that the Fourier features generally performed more poorly, while the other feature sets all performned comparably.
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