Litcius/Paper detail

Classification of imbalanced hyperspectral images using SMOTE-based deep learning methods

Akın Özdemir, Kemal Polat, Adi Alhudhaif

2021Expert Systems with Applications85 citationsDOI

Topics & Concepts

Computer scienceHyperspectral imagingConfusion matrixArtificial intelligencePattern recognition (psychology)Convolutional neural networkMulticlass classificationClassifier (UML)Machine learningArtificial neural networkData miningSupport vector machineRemote-Sensing Image ClassificationCurrency Recognition and DetectionImbalanced Data Classification Techniques
Classification of imbalanced hyperspectral images using SMOTE-based deep learning methods | Litcius