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

Akın Özdemir; Kemal Polat; Adi Alhudhaif

doi:10.1016/j.eswa.2021.114986

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

Akın Özdemir Kemal Polat Adi Alhudhaif

Year: 2021 Journal: Expert Systems with Applications Vol: 178 Pages: 114986-114986 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2021.114986

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Keywords:

Computer science Hyperspectral imaging Confusion matrix Artificial intelligence Pattern recognition (psychology) Convolutional neural network Multiclass classification Classifier (UML) Machine learning Artificial neural network Data mining Support vector machine

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Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Currency Recognition and Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

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

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Citation History

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