The application of few-shot learning to hyperspectral image (HSI) classification tasks has gradually become a research hotspot due to the difficulties in acquiring and labeling HSI data. Existing ...

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We consider a supervised classification of hyperspectral data using AdaBoost with stump functions as base classifiers. We used the bootstrap method without replacement to improve stability and ...