DRFL-VAT: Deep Representative Feature Learning with Virtual Adversarial Training for Semi-Supervised Classification of Hyperspectral Image
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DOI: 10.1109/tgrs.2022.3187187
Abstract: While deep learning algorithms have achieved good results in hyperspectral image (HSI) classification, several supervised classification algorithms rely on a large amount of labeled samples to get adequate performance. Collecting a large amount of labeled… read more here.
Keywords: classification; training; supervised classification; drfl vat ... See more keywords